Teknium
641 lines
23 KiB
Python
641 lines
23 KiB
Python
"""Shared helpers for gateway platform adapters: message dedup, markdown
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stripping, thread participation tracking, GFM table → bullets, mention-pattern
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compilation, and fence-aware markdown chunking."""
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import json
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import logging
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import re
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import time
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from pathlib import Path
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from typing import Dict
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from utils import atomic_json_write
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logger = logging.getLogger(__name__)
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# ─── Message Deduplication ────────────────────────────────────────────────────
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class MessageDeduplicator:
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"""TTL-based message deduplication cache (``if dedup.is_duplicate(msg_id): return``)."""
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def __init__(self, max_size: int = 2000, ttl_seconds: float = 300):
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self._seen: Dict[str, float] = {}
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self._max_size = max_size
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self._ttl = ttl_seconds
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def is_duplicate(self, msg_id: str) -> bool:
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"""Return True if *msg_id* was already seen within the TTL window."""
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if not msg_id:
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return False
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now = time.time()
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if msg_id in self._seen:
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if now - self._seen[msg_id] < self._ttl:
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return True
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# Entry has expired — remove it and treat as new
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del self._seen[msg_id]
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self._seen[msg_id] = now
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if len(self._seen) > self._max_size:
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cutoff = now - self._ttl
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self._seen = {k: v for k, v in self._seen.items() if v > cutoff}
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if len(self._seen) > self._max_size:
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# All entries still fresh: keep the newest so max_size holds under load.
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self._seen = dict(sorted(self._seen.items(), key=lambda item: item[1])[-self._max_size:])
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return False
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def contains(self, msg_id: str) -> bool:
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"""Return whether *msg_id* is live in the cache without inserting it."""
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if not msg_id:
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return False
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seen_at = self._seen.get(msg_id)
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if seen_at is None:
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return False
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if time.time() - seen_at < self._ttl:
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return True
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del self._seen[msg_id]
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return False
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def discard(self, msg_id: str) -> None:
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"""Release a claimed message ID after cancelled/failed handoff."""
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self._seen.pop(msg_id, None)
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def clear(self):
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"""Clear all tracked messages."""
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self._seen.clear()
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# ─── Markdown Stripping ──────────────────────────────────────────────────────
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# Pre-compiled regexes for performance
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_RE_BOLD = re.compile(r"\*\*(.+?)\*\*", re.DOTALL)
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_RE_ITALIC_STAR = re.compile(r"\*(.+?)\*", re.DOTALL)
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_RE_BOLD_UNDER = re.compile(r"\b__(?![\s_])(.+?)(?<![\s_])__\b", re.DOTALL)
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_RE_ITALIC_UNDER = re.compile(r"\b_(?![\s_])(.+?)(?<![\s_])_\b", re.DOTALL)
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_RE_CODE_BLOCK = re.compile(r"```[a-zA-Z0-9_+-]*\n?")
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_RE_INLINE_CODE = re.compile(r"`(.+?)`")
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_RE_HEADING = re.compile(r"^#{1,6}\s+", re.MULTILINE)
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_RE_LINK = re.compile(r"\[([^\]]+)\]\([^\)]+\)")
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_RE_MULTI_NEWLINE = re.compile(r"\n{3,}")
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def strip_markdown(text: str) -> str:
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"""Strip markdown formatting for plain-text platforms (SMS, iMessage, etc.)."""
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text = _RE_BOLD.sub(r"\1", text)
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text = _RE_ITALIC_STAR.sub(r"\1", text)
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text = _RE_BOLD_UNDER.sub(r"\1", text)
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text = _RE_ITALIC_UNDER.sub(r"\1", text)
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text = _RE_CODE_BLOCK.sub("", text)
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text = _RE_INLINE_CODE.sub(r"\1", text)
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text = _RE_HEADING.sub("", text)
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text = _RE_LINK.sub(r"\1", text)
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text = _RE_MULTI_NEWLINE.sub("\n\n", text)
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return text.strip()
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# ─── Thread Participation Tracking ───────────────────────────────────────────
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class ThreadParticipationTracker:
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"""Persistent set of threads the bot has participated in (``<platform>_threads.json``).
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``thread_id in tracker`` checks membership; ``tracker.mark(thread_id)`` persists.
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"""
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_MAX_TRACKED = 500
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def __init__(self, platform_name: str, max_tracked: int = 500):
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self._platform = platform_name
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self._max_tracked = max_tracked
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self._threads: dict[str, None] = dict.fromkeys(str(t) for t in self._load())
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def _state_path(self) -> Path:
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from hermes_constants import get_hermes_home
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return get_hermes_home() / f"{self._platform}_threads.json"
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def _load(self) -> list[str]:
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path = self._state_path()
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if path.exists():
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try:
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data = json.loads(path.read_text(encoding="utf-8"))
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if isinstance(data, list):
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return [str(thread_id) for thread_id in data]
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except Exception:
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pass
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return []
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def _save(self) -> None:
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path = self._state_path()
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thread_list = list(self._threads)
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if len(thread_list) > self._max_tracked:
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thread_list = thread_list[-self._max_tracked:]
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self._threads = dict.fromkeys(thread_list)
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atomic_json_write(path, thread_list, indent=None)
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def mark(self, thread_id: str) -> None:
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"""Mark *thread_id* as participated and persist."""
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if thread_id not in self._threads:
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self._threads[thread_id] = None
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self._save()
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def __contains__(self, thread_id: str) -> bool:
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return thread_id in self._threads
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def clear(self) -> None:
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self._threads.clear()
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# ─── Phone Number Redaction ──────────────────────────────────────────────────
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def redact_phone(phone: str) -> str:
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"""Redact a phone number for logging, preserving country code and last 4."""
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if not phone:
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return "<none>"
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if len(phone) <= 8:
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return phone[:2] + "****" + phone[-2:] if len(phone) > 4 else "****"
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return phone[:4] + "****" + phone[-4:]
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# ─── GFM Markdown Table → Bullet Conversion ─────────────────────────────────
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# Discord calls convert_table_to_bullets(); Telegram imports the primitives but
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# keeps its own MarkdownV2-aware renderer.
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# GFM delimiter row: optional outer pipes, dash cells (optional alignment colons).
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# Requires at least one internal '|' so a lone '---' rule is NOT matched.
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TABLE_SEPARATOR_RE = re.compile(r'^\s*\|?\s*:?-+:?\s*(?:\|\s*:?-+:?\s*){1,}\|?\s*$')
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def is_table_row(line: str) -> bool:
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"""Return True if *line* could plausibly be a table data row."""
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stripped = line.strip()
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return bool(stripped) and '|' in stripped
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def split_markdown_table_row(line: str) -> list[str]:
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"""Split a GFM table row into stripped cells (delegates to agent.markdown_tables)."""
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from agent.markdown_tables import split_table_row
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return split_table_row(line)
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def _render_table_block(table_block: list[str]) -> str:
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"""Render a detected GFM table as bold-heading + bullet groups.
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Same alignment logic as Telegram's renderer: without a row-label column the
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full row is the data and the bullet duplicating the heading is skipped.
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"""
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if len(table_block) < 3:
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return "\n".join(table_block)
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headers = split_markdown_table_row(table_block[0])
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if len(headers) < 2:
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return "\n".join(table_block)
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first_data_row = split_markdown_table_row(table_block[2])
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has_row_label_col = len(first_data_row) == len(headers) + 1
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rendered_groups: list[str] = []
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for index, row in enumerate(table_block[2:], start=1):
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cells = split_markdown_table_row(row)
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if has_row_label_col:
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heading = cells[0] if cells and cells[0] else f"Row {index}"
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data_cells = cells[1:]
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else:
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heading = next((cell for cell in cells if cell), f"Row {index}")
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data_cells = cells
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if len(data_cells) < len(headers):
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data_cells.extend([""] * (len(headers) - len(data_cells)))
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elif len(data_cells) > len(headers):
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data_cells = data_cells[: len(headers)]
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bullets = [
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f"• {header}: {value}"
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for header, value in zip(headers, data_cells)
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if has_row_label_col or value != heading
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]
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rendered_groups.append("\n".join([f"**{heading}**", *bullets]))
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return "\n\n".join(rendered_groups)
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def convert_table_to_bullets(text: str) -> str:
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"""Rewrite GFM pipe tables into bold-heading + bullet groups.
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Tables inside fenced code blocks are left alone.
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"""
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if '|' not in text or '-' not in text:
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return text
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lines = text.split('\n')
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out: list[str] = []
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in_fence = False
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i = 0
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while i < len(lines):
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line = lines[i]
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stripped = line.lstrip()
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if stripped.startswith('```'):
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in_fence = not in_fence
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if in_fence or stripped.startswith('```'):
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out.append(line)
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i += 1
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continue
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if '|' in line and i + 1 < len(lines) and TABLE_SEPARATOR_RE.match(lines[i + 1]):
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table_block = [line, lines[i + 1]]
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j = i + 2
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while j < len(lines) and is_table_row(lines[j]):
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table_block.append(lines[j])
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j += 1
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out.append(_render_table_block(table_block))
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i = j
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continue
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out.append(line)
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i += 1
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return '\n'.join(out)
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# ─── Mention-pattern compilation ─────────────────────────────────────────────
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def compile_mention_patterns(
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raw,
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*,
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log_prefix: str,
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platform_label: str | None = None,
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display_label: str | None = None,
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defaults: 'list[str] | None' = None,
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logger_: 'logging.Logger | None' = None,
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) -> 'list[re.Pattern]':
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"""Compile regex wake-word/mention patterns from config or env values.
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* **Config-style** (dingtalk, telegram): pass ``platform_label``. ``raw``
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must be a list or string (anything else warns and yields ``[]``);
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non-string entries are skipped; a summary info log is emitted on load.
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* **Wakeword-style** (photon, bluebubbles): pass ``defaults``. ``raw`` may be
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None (defaults), a string (JSON list or comma/newline separated), a list,
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or a scalar; entries are coerced via ``str()``.
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``log_prefix`` is interpolated into every log line so per-adapter output
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stays byte-identical to the historical inline implementations.
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"""
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log = logger_ or logger
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if platform_label is not None:
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display = display_label or platform_label
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patterns = raw
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if patterns is None:
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return []
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if isinstance(patterns, str):
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patterns = [patterns]
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if not isinstance(patterns, list):
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log.warning(
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"[%s] %s mention_patterns must be a list or string; got %s",
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log_prefix, platform_label, type(patterns).__name__,
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)
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return []
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compiled: list[re.Pattern] = []
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for pattern in patterns:
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if not isinstance(pattern, str) or not pattern.strip():
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continue
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try:
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compiled.append(re.compile(pattern, re.IGNORECASE))
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except re.error as exc:
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log.warning("[%s] Invalid %s mention pattern %r: %s", log_prefix, display, pattern, exc)
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if compiled:
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log.info("[%s] Loaded %d %s mention pattern(s)", log_prefix, len(compiled), display)
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return compiled
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if raw is None:
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patterns = list(defaults or [])
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elif isinstance(raw, str):
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text = raw.strip()
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try:
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loaded = json.loads(text) if text else []
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except Exception:
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loaded = None
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patterns = loaded if isinstance(loaded, list) else [
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part.strip() for line in text.splitlines() for part in line.split(",")
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]
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elif isinstance(raw, list):
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patterns = raw
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else:
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patterns = [raw]
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compiled = []
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for pattern in patterns:
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text = str(pattern).strip()
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if not text:
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continue
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try:
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compiled.append(re.compile(text, re.IGNORECASE))
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except re.error as exc:
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log.warning("[%s] Invalid mention pattern %r: %s", log_prefix, text, exc)
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return compiled
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# ─── Fence-Aware Markdown Chunking ───────────────────────────────────────────
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# Shared core for the chunkers in gateway/stream_consumer.py (newline-preferred
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# + fence balancing: ``prefer_paragraphs=False, balance_fences=True``), yuanbao
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# (atomic blocks + paragraph splitting, fences kept as atoms:
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# ``prefer_paragraphs=True, balance_fences=False``) and weixin (own block
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# splitter, reuses ``greedy_pack_blocks``).
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def text_has_unclosed_fence(text: str) -> bool:
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"""Return True when *text* ends inside an unclosed ``` code fence."""
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in_fence = False
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for line in text.split('\n'):
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if line.startswith('```'):
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in_fence = not in_fence
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return in_fence
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def text_ends_with_table_row(text: str) -> bool:
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"""True when the last non-empty line starts and ends with ``|``."""
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trimmed = text.rstrip()
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return bool(trimmed) and _is_pipe_row(trimmed.split('\n')[-1])
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def is_fence_atom(text: str) -> bool:
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"""True when an atomic block is a code block (starts with ```)."""
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return text.lstrip().startswith('```')
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def _is_pipe_row(line: str) -> bool:
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stripped = line.strip()
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return stripped.startswith('|') and stripped.endswith('|')
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def is_table_atom(text: str) -> bool:
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"""True when an atomic block is a table (first line is ``|...|``)."""
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return _is_pipe_row(text.split('\n')[0])
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_SENTENCE_END_NEWLINE_RE = re.compile(r'[。！？.!?]\n')
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def split_at_paragraph_boundary(text, max_chars, len_fn=None):
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"""Split at the nearest paragraph boundary within *max_chars*; return (head, tail).
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Priority: blank line → newline after sentence-ending punctuation (CJK/ASCII)
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→ last newline → forced split at the window boundary. ``head + tail == text``
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always holds. *len_fn* measures in custom units (e.g. UTF-16 code units).
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"""
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_len = len_fn or len
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if _len(text) <= max_chars:
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return text, ''
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if _len is len:
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window = text[:max_chars]
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else:
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from gateway.platforms.base import _custom_unit_to_cp # heavyweight; lazy
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window = text[:_custom_unit_to_cp(text, max_chars, _len)]
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pos = window.rfind('\n\n')
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if pos > 0:
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return text[:pos + 2], text[pos + 2:]
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best_pos = -1
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for m in _SENTENCE_END_NEWLINE_RE.finditer(window):
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best_pos = m.end()
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if best_pos > 0:
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return text[:best_pos], text[best_pos:]
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pos = window.rfind('\n')
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if pos > 0:
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return text[:pos + 1], text[pos + 1:]
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cut = len(window)
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return text[:cut], text[cut:]
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def split_markdown_atoms(text: str) -> "list[str]":
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"""Split markdown into indivisible atoms: fenced code blocks, tables
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(consecutive ``|...|`` lines) and paragraphs. Blank lines belong to no atom."""
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lines = text.split('\n')
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atoms: "list[str]" = []
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current_lines: "list[str]" = []
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in_fence = False
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_is_table_line = _is_pipe_row
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def _flush_current() -> None:
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if current_lines:
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atom = '\n'.join(current_lines)
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if atom.strip():
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atoms.append(atom)
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current_lines.clear()
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for line in lines:
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if in_fence:
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current_lines.append(line)
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if line.startswith('```') and len(current_lines) > 1:
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in_fence = False
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_flush_current()
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elif line.startswith('```'):
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_flush_current()
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in_fence = True
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current_lines.append(line)
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elif _is_table_line(line):
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if current_lines and not _is_table_line(current_lines[-1]):
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_flush_current()
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current_lines.append(line)
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elif line.strip() == '':
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_flush_current()
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else:
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if current_lines and _is_table_line(current_lines[-1]):
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_flush_current()
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current_lines.append(line)
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_flush_current()
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return atoms
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def infer_block_separator(prev_chunk: str, next_chunk: str) -> str:
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"""``'\\n'`` when the boundary sits at a code fence or a continued table, else ``'\\n\\n'``."""
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prev_trimmed = prev_chunk.rstrip()
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next_trimmed = next_chunk.lstrip()
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if prev_trimmed.endswith('```') or next_trimmed.startswith('```'):
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return '\n'
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if text_ends_with_table_row(prev_chunk) and next_trimmed and _is_pipe_row(next_trimmed.split('\n')[0]):
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return '\n'
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return '\n\n'
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def merge_streaming_fences(chunks: "list[str]") -> "list[str]":
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"""Rejoin chunks truncated mid-fence: while chunk *i* has an unclosed fence
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and a successor exists, merge the successor in via :func:`infer_block_separator`."""
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if not chunks:
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return []
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result: "list[str]" = []
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i = 0
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while i < len(chunks):
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current = chunks[i]
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while text_has_unclosed_fence(current) and i + 1 < len(chunks):
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sep = infer_block_separator(current, chunks[i + 1])
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current = current + sep + chunks[i + 1]
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i += 1
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result.append(current)
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i += 1
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return result
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def balance_fences_across_chunks(chunks: "list[str]") -> "list[str]":
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"""Close orphaned ``` fences at each chunk boundary and reopen (with the
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original language tag) on the next, so every chunk is fence-balanced alone."""
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if len(chunks) <= 1:
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return chunks
|
|
out: "list[str]" = []
|
|
carry_lang = None
|
|
for chunk in chunks:
|
|
prefix = f"```{carry_lang}\n" if carry_lang is not None else ""
|
|
in_code, lang = fence_state_after(chunk, carry_lang is not None, carry_lang or "")
|
|
body = prefix + chunk
|
|
if in_code:
|
|
body += "\n```"
|
|
carry_lang = lang
|
|
else:
|
|
carry_lang = None
|
|
out.append(body)
|
|
return out
|
|
|
|
|
|
def fence_state_after(text: str, in_code: bool = False, lang: str = "") -> "tuple[bool, str]":
|
|
"""Walk ``text`` line by line toggling on ``` lines; return the final (in_code, lang)."""
|
|
for line in text.split("\n"):
|
|
stripped = line.strip()
|
|
if stripped.startswith("```"):
|
|
if in_code:
|
|
in_code, lang = False, ""
|
|
else:
|
|
tag = stripped[3:].strip()
|
|
in_code, lang = True, (tag.split()[0] if tag else "")
|
|
return in_code, lang
|
|
|
|
|
|
def greedy_pack_blocks(blocks, max_length, len_fn=None, sep="\n\n", overflow=None):
|
|
"""Greedily pack *blocks* (joined with *sep*) into chunks of at most *max_length*.
|
|
|
|
A block that alone exceeds the limit goes through *overflow(block)* (must
|
|
return a list of chunks) when provided, else is emitted as-is.
|
|
"""
|
|
_len = len_fn or len
|
|
packed: "list[str]" = []
|
|
current = ""
|
|
for block in blocks:
|
|
candidate = block if not current else f"{current}{sep}{block}"
|
|
if _len(candidate) <= max_length:
|
|
current = candidate
|
|
continue
|
|
if current:
|
|
packed.append(current)
|
|
current = ""
|
|
if _len(block) <= max_length:
|
|
current = block
|
|
continue
|
|
if overflow is not None:
|
|
packed.extend(overflow(block))
|
|
else:
|
|
packed.append(block)
|
|
if current:
|
|
packed.append(current)
|
|
return packed
|
|
|
|
|
|
def split_text_fence_aware(
|
|
text,
|
|
limit,
|
|
len_fn=None,
|
|
*,
|
|
prefer_paragraphs=True,
|
|
balance_fences=False,
|
|
):
|
|
"""Split markdown into chunks of at most *limit*, respecting fences.
|
|
|
|
``prefer_paragraphs=True`` (yuanbao-derived): atoms (fences, tables,
|
|
paragraphs) are greedily merged, oversized non-atomic chunks split at
|
|
paragraph boundaries, small neighbours re-merged; a single atom larger than
|
|
*limit* is emitted oversize rather than broken.
|
|
``prefer_paragraphs=False`` (stream_consumer-derived): newline-preferred
|
|
hard splitting with headroom reserved for fence markers.
|
|
``balance_fences=True`` closes/reopens fences at chunk boundaries so each
|
|
chunk renders standalone.
|
|
"""
|
|
_len = len_fn or len
|
|
if not text:
|
|
return []
|
|
if prefer_paragraphs:
|
|
chunks = _chunk_markdown_paragraphs(text, limit, len_fn)
|
|
else:
|
|
chunks = _chunk_newline_preferred(text, limit, _len)
|
|
if balance_fences:
|
|
chunks = balance_fences_across_chunks(chunks)
|
|
return chunks
|
|
|
|
|
|
def _chunk_markdown_paragraphs(text, max_chars, len_fn=None):
|
|
"""Yuanbao-derived paragraph/atom chunking pipeline (see module docs)."""
|
|
_len = len_fn or len
|
|
if _len(text) <= max_chars:
|
|
return [text]
|
|
atoms = split_markdown_atoms(text)
|
|
# Phase 2: greedy merge; oversized fence/table atoms stay indivisible.
|
|
chunks: "list[str]" = []
|
|
indivisible_set: "set[int]" = set()
|
|
current_parts: "list[str]" = []
|
|
current_len = 0
|
|
|
|
def _flush_parts() -> None:
|
|
if current_parts:
|
|
chunks.append('\n\n'.join(current_parts))
|
|
for atom in atoms:
|
|
atom_len = _len(atom)
|
|
sep_len = 2 if current_parts else 0
|
|
projected_len = current_len + sep_len + atom_len
|
|
if projected_len > max_chars and current_parts:
|
|
_flush_parts()
|
|
current_parts = []
|
|
current_len = 0
|
|
sep_len = 0
|
|
if (not current_parts
|
|
and atom_len > max_chars
|
|
and (is_fence_atom(atom) or is_table_atom(atom))):
|
|
indivisible_set.add(len(chunks))
|
|
chunks.append(atom)
|
|
continue
|
|
current_parts.append(atom)
|
|
current_len += sep_len + atom_len
|
|
_flush_parts()
|
|
# Phase 3: split still-oversized divisible chunks at paragraph boundaries.
|
|
result: "list[str]" = []
|
|
for idx, chunk in enumerate(chunks):
|
|
if _len(chunk) <= max_chars or idx in indivisible_set or text_has_unclosed_fence(chunk):
|
|
result.append(chunk)
|
|
continue
|
|
remaining = chunk
|
|
while _len(remaining) > max_chars:
|
|
head, remaining = split_at_paragraph_boundary(remaining, max_chars, len_fn=len_fn)
|
|
if not head:
|
|
head, remaining = remaining[:max_chars], remaining[max_chars:]
|
|
if head:
|
|
result.append(head)
|
|
if remaining:
|
|
result.append(remaining)
|
|
# Phase 4: merge small chunks with neighbours.
|
|
if len(result) > 1:
|
|
merged: "list[str]" = [result[0]]
|
|
for chunk in result[1:]:
|
|
prev = merged[-1]
|
|
combined = prev + '\n\n' + chunk
|
|
if _len(combined) <= max_chars:
|
|
merged[-1] = combined
|
|
else:
|
|
merged.append(chunk)
|
|
result = merged
|
|
return [c for c in result if c]
|
|
|
|
|
|
def _chunk_newline_preferred(text, limit, len_fn):
|
|
"""Stream-consumer-derived newline-preferred splitting (no balancing)."""
|
|
if len_fn(text) <= limit:
|
|
return [text]
|
|
# Reserve headroom for fence markers a balancing pass may add.
|
|
split_limit = limit
|
|
if "```" in text:
|
|
split_limit = max(limit - 16, limit // 2, 1)
|
|
from gateway.platforms.base import _custom_unit_to_cp # heavyweight; lazy
|
|
chunks: "list[str]" = []
|
|
remaining = text
|
|
while len_fn(remaining) > split_limit:
|
|
_cp_budget = _custom_unit_to_cp(remaining, split_limit, len_fn)
|
|
split_at = remaining.rfind("\n", 0, _cp_budget)
|
|
if split_at < _cp_budget // 2:
|
|
split_at = _cp_budget
|
|
chunks.append(remaining[:split_at])
|
|
remaining = remaining[split_at:].lstrip("\n")
|
|
if remaining:
|
|
chunks.append(remaining)
|
|
return chunks
|