Files
DECNET/decnet/profiler/behave_shell/_parse.py
anti f3880b24d1 feat(profiler/behave_shell): command segmentation in SessionContext
BEHAVE-EXTRACTOR.md Phase A Step 4. Pure refactor inside _ctx.py —
no new feature emits. Lays the shared utility for the three
cognitive primitives next in line (Steps 5-7).

* Command dataclass (frozen): start_ts, end_ts, first_token_hash.
  PII-safe by construction — only the first whitespace-delimited
  token of the command is retained, and only as a sha256 hash
  (decnet/profiler/behave_shell/_parse.py:hash_token).
* _segment_commands walks input events char-by-char, splits on
  \r / \n, hashes the first token, drops the rest.
* SessionContext gains commands, inter_cmd_iats, output_per_cmd.
  output_per_cmd[i] counts bytes between commands[i].end_ts and
  commands[i+1].start_ts — the natural pairing for Step 7
  (feedback_loop_engagement).

Tests: empty / unterminated streams, single command (CR + LF
terminators), paste-with-newline, multi-command IAT pairing,
output-byte counting between boundaries, blank-line skip,
first-token-only PII discipline.
2026-05-03 07:50:55 -04:00

94 lines
3.0 KiB
Python

"""Asciinema event types + shard-line parsing helpers.
Shard lines are JSON objects ``{"sid": ..., "t": float, "ch": "i"|"o",
"d": str}`` produced by the DECNET PTY-recording wrapper and held in
sensor-side blob storage. The first line of each file is a header
(``{"sid": ..., "hdr": {...}}``) which carries no event payload — the
parser skips it.
The on-wire engine input is the simpler 3-tuple ``(t, kind, data)``
:data:`AsciinemaEvent`. Workers (``BEHAVE-INTEGRATION.md`` Phase 4)
either feed the 3-tuple directly or use :func:`parse_shard_line` to
turn a raw JSON string into one.
"""
from __future__ import annotations
import hashlib
import json
from dataclasses import dataclass
from typing import Iterable, Iterator, Literal, Tuple
EventKind = Literal["i", "o"]
AsciinemaEvent = Tuple[float, EventKind, str]
@dataclass(frozen=True, slots=True)
class PasteBurst:
"""Contiguous run of paste-class input events."""
start_ts: float
end_ts: float
char_count: int
event_count: int
@dataclass(frozen=True, slots=True)
class Command:
"""One command-line invocation, segmented from the input stream.
PII discipline (per ``BEHAVE-INTEGRATION.md`` and the BEHAVE
envelope's pinned policy): only the *first token* of the command
is retained, and only as a sha256 hash. The full command body
never enters the engine's data structures, never goes to the bus,
never ends up in the database. ``first_token_hash`` lets
cognitive.command_branch_diversity (Step 6) count distinct
invocations without learning anything about argument values.
``end_ts`` is the timestamp of the ``\\r`` / ``\\n`` that
terminated the command; ``start_ts`` is the first character typed
or pasted into it.
"""
start_ts: float
end_ts: float
first_token_hash: str
def hash_token(token: str) -> str:
"""sha256-hex of a token; the only PII-safe handle on a command."""
return hashlib.sha256(token.encode("utf-8")).hexdigest()
def parse_shard_line(line: str) -> AsciinemaEvent | None:
"""Turn one shard JSONL line into an :data:`AsciinemaEvent`.
Returns ``None`` for the header line and for any line that is not
a well-formed event record. Workers must filter ``None``s out
before passing to :func:`extract_session`.
"""
line = line.strip()
if not line:
return None
try:
rec = json.loads(line)
except (json.JSONDecodeError, ValueError):
return None
if not isinstance(rec, dict):
return None
if "hdr" in rec or "t" not in rec or "ch" not in rec:
return None
t = rec.get("t")
ch = rec.get("ch")
d = rec.get("d", "")
if not isinstance(t, (int, float)) or ch not in ("i", "o") or not isinstance(d, str):
return None
return (float(t), ch, d)
def parse_shard(lines: Iterable[str]) -> Iterator[AsciinemaEvent]:
"""Stream-parse a shard file's lines into events, skipping junk."""
for line in lines:
ev = parse_shard_line(line)
if ev is not None:
yield ev