#!/usr/bin/env python3
"""小象 (xiaoxiang) v0.2: Read a person's own agent logs locally: which kinds of request they make, and
how many credentials sit in the logs.  Nothing leaves the machine.

Claude Code keeps sessions in ~/.claude/projects/*/*.jsonl and Codex in
~/.codex/sessions/YYYY/MM/DD/rollout-*.jsonl.  A turn counts as typed by the
person when it is a user record with text of its own: tool results, subagent
(sidechain) traffic, injected context (<environment_context>, AGENTS.md, slash
command wrappers) and compaction summaries are skipped.

Every turn is redacted with secret_scan before it is classified, and the report
carries counts, kinds and file paths, never turn text or secret values.

In the repository this imports secret_scan and xiaoxiang; `xiaoxiang.py bundle`
joins all three with the exported model into one standalone file.

Run: python3 xiaoxiang-local.py [--days N] [--json]
Standard library only; no network access.  Built 2026-09-29."""
from __future__ import annotations

# ---- secret_scan: classical secret detector ----


import argparse
from dataclasses import dataclass
import json
import math
from pathlib import Path
import re
import sys
from typing import Iterable, Match, Pattern


@dataclass(frozen=True, slots=True)
class Finding:
    """The type and character range of a suspected secret, never its value."""

    kind: str
    start: int
    end: int


@dataclass(frozen=True, slots=True)
class _Rule:
    kind: str
    pattern: Pattern[str]
    group: int | str = 0


def _start(chars: str) -> str:
    """Left boundary: not preceded by CHARS, or preceded by a \\n/\\t/\\r escape."""
    return rf"(?:(?<=\\[ntr])|(?<![{chars}]))"


_RULES = (
    _Rule(
        "private-key",
        re.compile(
            r"-----BEGIN(?: [A-Z0-9]+)* PRIVATE KEY-----.*?"
            r"-----END(?: [A-Z0-9]+)* PRIVATE KEY-----",
            re.DOTALL,
        ),
    ),
    _Rule("aws-access-key", re.compile(_start("A-Z0-9") + r"(?:AKIA|ASIA)[A-Z0-9]{16}(?![A-Z0-9])")),
    _Rule("github-token", re.compile(_start("A-Za-z0-9_") + r"(?:gh[opusr]_[A-Za-z0-9]{20,255}|github_pat_[A-Za-z0-9_]{20,255})(?![A-Za-z0-9_])")),
    _Rule("anthropic-key", re.compile(_start("A-Za-z0-9_-") + r"sk-ant-[A-Za-z0-9_-]{20,}(?![A-Za-z0-9_-])")),
    _Rule("openai-key", re.compile(_start("A-Za-z0-9_-") + r"(?:sk-proj-[A-Za-z0-9_-]{20,}|sk-[A-Za-z0-9_-]{20,})(?![A-Za-z0-9_-])")),
    _Rule("slack-token", re.compile(_start("A-Za-z0-9-") + r"xox[abprs]-[A-Za-z0-9-]{10,}(?![A-Za-z0-9-])")),
    _Rule("google-api-key", re.compile(_start("A-Za-z0-9_-") + r"AIza[A-Za-z0-9_-]{30,}(?![A-Za-z0-9_-])")),
    _Rule("jwt", re.compile(_start("A-Za-z0-9_-") + r"eyJ[A-Za-z0-9_-]*\.[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+(?![A-Za-z0-9_-])")),
    _Rule("bearer", re.compile(r"(?i)(?:authorization\s*:\s*)?bearer\s+(?P<value>(?=[A-Za-z._~+/-]*[0-9])[A-Za-z0-9._~+/-]{8,})"), "value"),
    _Rule(
        "url-credentials",
        re.compile(r"[A-Za-z][A-Za-z0-9+.-]*://[^\s/@:]+:(?P<password>[^\s/@]+)@[^\s/]+"),
        "password",
    ),
)

# The label may be JSON-quoted, JSON-escaped (\" inside a .jsonl string) or
# wrapped in Markdown emphasis (**Password:**).  The value itself is read by
# _keyword_span, so a quoted value runs to its closing quote, spaces included.
_KEYWORD = re.compile(
    r"(?ix)"
    r"(?P<em>[*_]{1,3})?(?:\\?[\"'`])?(?:[A-Za-z0-9]+[_-])*"
    r"(?P<keyword>password|passwd|pwd|secret|token|api[_-]?key|access[_-]?key|client[_-]?secret)"
    r"(?:\\?[\"'`])?(?(em)[*_]{0,3})\s*[:=](?(em)[*_]{0,3})\s*"
    r"(?P<quote>\\?[\"'`])?"
)
# Where a _KEYWORD match can begin: the keyword itself, reached back over the
# characters its optional prefix may contain.  Searching only there gives the
# same matches as _KEYWORD.finditer; running that regex from every position
# was quadratic in long alphanumeric runs (base64 payloads in agent logs).
_KEYWORD_WORD = re.compile(  # a lookahead, so overlapping keywords all count
    r"(?i)(?=password|passwd|pwd|secret|token|api[_-]?key|access[_-]?key|client[_-]?secret)")
_KEYWORD_PREFIX_CHAR = re.compile(r"[A-Za-z0-9_\-*\\\"'`]")
_UNQUOTED_VALUE = re.compile(r"[^\s,;\}\]\\\"'`]+")
_HIGH_ENTROPY = re.compile(_start("A-Za-z0-9+/_=-") + r"[A-Za-z0-9+/_=-]{32,}(?![A-Za-z0-9+/_=-])")
# Longer runs are encoded payloads (images, archives), not credentials; keys long
# enough to exceed this (PEM blocks, JWTs) have their own structural rules.
_HIGH_ENTROPY_MAX = 256
_PLACEHOLDERS = re.compile(
    r"(?i)^(?:<redacted>|\*{3,}|x{3,}|change(?:me)?|changeme\??|none|null|n/?a|placeholder|example)$"
)
_HEX = re.compile(r"^[0-9a-fA-F]+$")
_WORDLIKE = re.compile(r"[a-z]+[0-9]*|(?:[A-Z][a-z]{2,})+[0-9]*|[A-Z]{1,4}|[0-9]+|[0-9a-f]+")
_UUID = re.compile(r"(?i)^[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$")


def _keyword_span(text: str, match: Match[str]) -> tuple[int, int] | None:
    start = match.end()
    quote = match.group("quote")
    # A quoted value runs to the same closing quote (escaped the same way), so
    # a passphrase with spaces is redacted whole.  Without a closing quote on
    # the same line, fall back to the unquoted reading.
    end = text.find(quote, start) if quote else -1
    if end < 0 or "\n" in text[start:end]:
        value_match = _UNQUOTED_VALUE.match(text, start)
        end = value_match.end() if value_match else start
    value = text[start:end]
    if not value.strip() or _PLACEHOLDERS.fullmatch(value.strip()):
        return None
    # A working directory (PWD=/home/…, OLDPWD=~/…) is a path, not a password.
    if value.startswith(("/", "~")):
        return None
    # An EDN/Clojure map key ({:token :foo/bar}) names a field, not a secret.
    if match.start("keyword") and text[match.start("keyword") - 1] == ":":
        return None
    # "token" is also an ordinary word (max_token=4096, "per token: n"), so a
    # token value must look like one: a digit that is not the whole value, or length.
    if match.group("keyword").lower() == "token" and not (
            len(value) >= 16 or (re.search(r"[0-9]", value) and not value.isdigit())):
        return None
    return start, end


def _keyword_matches(text: str) -> Iterable[Match[str]]:
    """The matches _KEYWORD.finditer(text) would return, found by trying only
    the start positions that can reach a keyword."""
    resume = 0
    for word in _KEYWORD_WORD.finditer(text):
        if word.start() < resume:
            continue
        start = word.start()
        while start > resume and _KEYWORD_PREFIX_CHAR.match(text, start - 1):
            start -= 1
        for position in range(start, word.start() + 1):
            match = _KEYWORD.match(text, position)
            if match:
                yield match
                resume = match.end()
                break


def _entropy(value: str) -> float:
    length = len(value)
    return -sum((count / length) * math.log2(count / length)
                for count in (value.count(char) for char in set(value)))


def _high_entropy_candidate(text: str, match: Match[str]) -> bool:
    value = match.group(0)
    if len(value) > _HIGH_ENTROPY_MAX:
        return False
    # Paths and hyphenated identifiers (claude/projects/-home-joe-code/6799e67a-…,
    # M-futon-seams) join ordinary words; a random token split the same way
    # gives mixed-case fragments.  Skip when most segments read as words.
    segments = [part for part in re.split(r"[/_\-.=+]", value) if part]
    wordlike = [part for part in segments if _WORDLIKE.fullmatch(part)]
    if len(segments) >= 3 and len(wordlike) >= 0.6 * len(segments):
        return False
    if _HEX.fullmatch(value) and (7 <= len(value) <= 40 or len(value) == 64):
        return False
    if _UUID.fullmatch(value):
        return False
    if not (re.search(r"[A-Z]", value) and re.search(r"[a-z]", value)
            and re.search(r"[0-9]", value)):
        return False
    before = text[max(0, match.start() - 16):match.start()].lower()
    if before.endswith("data:") or ";base64," in before:
        return False
    if match.start() and text[match.start() - 1] in "/\\":
        return False
    return _entropy(value) >= 4.0


def _merge(findings: Iterable[Finding]) -> list[Finding]:
    ordered = sorted(findings, key=lambda item: (item.start, item.end, item.kind))
    merged: list[Finding] = []
    for item in ordered:
        if not merged or item.start >= merged[-1].end:
            merged.append(item)
            continue
        previous = merged[-1]
        # Structural signatures take precedence over the generic entropy net.
        # Otherwise prefer the match covering more text.
        if previous.kind == "high-entropy" and item.kind != "high-entropy":
            kind = item.kind
        elif item.kind == "high-entropy" and previous.kind != "high-entropy":
            kind = previous.kind
        else:
            kind = (item.kind if item.end - item.start > previous.end - previous.start
                    else previous.kind)
        merged[-1] = Finding(kind, previous.start, max(previous.end, item.end))
    return merged


def scan(text: str) -> list[Finding]:
    """Return non-overlapping suspected-secret ranges without secret values."""

    found: list[Finding] = []
    for rule in _RULES:
        for match in rule.pattern.finditer(text):
            start, end = match.span(rule.group)
            found.append(Finding(rule.kind, start, end))
    for match in _keyword_matches(text):
        span = _keyword_span(text, match)
        if span:
            found.append(Finding("keyword-assignment", *span))
    for match in _HIGH_ENTROPY.finditer(text):
        if _high_entropy_candidate(text, match):
            found.append(Finding("high-entropy", match.start(), match.end()))
    return _merge(found)


def redact(text: str) -> tuple[str, list[Finding]]:
    """Replace suspected secrets and return the redacted text and findings."""

    findings = scan(text)
    pieces: list[str] = []
    cursor = 0
    for finding in findings:
        pieces.extend((text[cursor:finding.start], f"[REDACTED:{finding.kind}]"))
        cursor = finding.end
    pieces.append(text[cursor:])
    return "".join(pieces), findings


# ---- 小象 classifier ----
import math
import re

CJK = "一-鿿㐀-䶿"

WORD = re.compile(r"[a-z][a-z']*|[%s]+" % CJK)

def tokens(text: str) -> list[str]:
    """Words, word bigrams, and CJK character bigrams; digits are ignored."""
    out: list[str] = []
    words: list[str] = []
    for piece in WORD.findall(text.lower()):
        if re.match("[%s]" % CJK, piece):
            chars = list(piece)
            out.extend(chars)
            out.extend(a + b for a, b in zip(chars, chars[1:]))
        else:
            words.append(piece)
    out.extend(words)
    out.extend(f"{a} {b}" for a, b in zip(words, words[1:]))
    return out

def evidence(model: dict, text: str) -> list[str]:
    vocab = {t for c in model["counts"].values() for t in c}
    common = set(model["common"])
    return [t for t in tokens(text) if t in vocab and t not in common]

def classify(model: dict, text: str, n: int = 3) -> list[tuple[str, float]]:
    prior, totals, counts = model["prior"], model["totals"], model["counts"]
    v, alpha, total = model["vocab_size"] or 1, model["alpha"], sum(prior.values())
    vocab = {t for c in counts.values() for t in c}
    toks = [t for t in tokens(text) if t in vocab]
    scores = {}
    for c in prior:
        denom = totals.get(c, 0) + alpha * v
        scores[c] = math.log(prior[c] / total) + sum(
            math.log((counts.get(c, {}).get(t, 0) + alpha) / denom) for t in toks)
    m = max(scores.values())
    z = sum(math.exp(s - m) for s in scores.values())
    ranked = sorted(((c, math.exp(s - m) / z) for c, s in scores.items()), key=lambda x: -x[1])
    return ranked[:n]

# ---- log reader ----

import argparse
from collections import Counter
import hashlib
import json
import os
from pathlib import Path
import sys
import time

MODEL = {'name': 'xiaoxiang', 'version': '0.2', 'alpha': 0.5, 'prior': {'propose': 354, 'explain': 269, 'ask-action': 168, 'constrain': 188, 'approve': 189, 'extend': 48, 'disagree': 79, 'clarify': 181, 'report': 138, 'report-problem': 198, 'qualify': 135, 'defer': 46, 'delegate': 64, 'redirect': 69, 'prioritize': 40, 'retract': 14, 'verify': 61, 'continue': 41, 'collect': 26, 'challenge': 2, 'contrast': 1, 'ask-information': 2, 'provide-reference': 2, 'withdraw': 1, 'concede': 1, 'reframe': 1}, 'totals': {'propose': 7415, 'explain': 5041, 'ask-action': 2060, 'constrain': 3106, 'approve': 1958, 'extend': 982, 'disagree': 1423, 'clarify': 1899, 'report': 1828, 'report-problem': 3042, 'qualify': 1861, 'defer': 719, 'delegate': 927, 'redirect': 1025, 'prioritize': 846, 'retract': 319, 'verify': 770, 'continue': 347, 'collect': 473, 'challenge': 17, 'contrast': 6, 'ask-information': 18, 'provide-reference': 6, 'withdraw': 2, 'concede': 12, 'reframe': 4}, 'vocab_size': 2478, 'common': ['about', 'an', 'and', 'are', 'as', 'at', 'be', 'but', 'can', 'could', 'do', "don't", 'for', 'have', 'i', 'i think', 'if', 'is', 'it', 'just', "let's", 'like', 'me', 'my', 'need', 'not', 'now', 'of', 'on', 'one', 'or', 'should', 'so', 'that', 'think', 'this', 'to', 'we', 'what', 'which', 'with', 'work', 'would', 'you', 'your'], 'counts': {'propose': {'since': 3, 'and': 158, 'is': 78, 'helpers': 6, 'are': 34, 'on': 64, 'what': 43, 'if': 80, 'we': 199, 'now': 17, 'look': 13, 'at': 20, 'and is': 2, 'on what': 1, 'if we': 30, 'we now': 2, 'look at': 4, 'also': 23, 'think': 57, 'about': 25, 'whether': 3, 'there': 9, 'would': 69, 'be': 101, 'way': 8, 'to': 196, 'make': 15, 'this': 42, 'data': 6, 'future': 1, 'g': 6, 'maybe': 40, 'it': 102, "shouldn't": 1, 'live': 4, "can't": 4, 'made': 2, 'fast': 5, 'for': 77, 'kind': 16, 'of': 128, 'and also': 4, 'also think': 2, 'think about': 6, 'about whether': 2, 'would be': 41, 'way to': 3, 'to make': 3, 'make this': 1, 'maybe it': 2, "can't be": 1, 'for this': 2, 'this kind': 1, 'kind of': 16, 'might': 21, 'found': 3, 'by': 10, 'because': 9, "we've": 4, 'still': 3, 'got': 6, 'it might': 5, 'might be': 9, 'be found': 2, "because we've": 1, "i'd": 14, 'like': 47, 'continue': 2, 'with': 60, 'naive': 2, 'summary': 3, 'existing': 4, 'lines': 3, 'per': 3, 'each': 6, 'feature': 2, "i'd like": 6, 'like to': 8, 'to continue': 1, 'on with': 3, 'with this': 1, 'it with': 1, 'lines of': 1, "i'm": 8, 'thinking': 5, 'that': 150, 'style': 2, 'say': 26, 'needed': 1, 'was': 16, 'such': 3, 'pattern': 27, 'place': 1, 'even': 6, 'before': 6, 'into': 21, 'critical': 3, 'phase': 2, "what i'm": 1, 'is that': 6, 'what we': 14, 'before we': 1, 'we got': 2, 'helpful': 3, 'could': 100, 'add': 2, 'or': 31, 'something': 24, 'give': 2, 'sense': 5, 'and it': 2, 'it would': 20, 'be helpful': 3, 'we could': 55, 'or something': 5, 'something to': 2, 'to give': 1, 'sense of': 4, 'i': 122, 'others': 5, 'definitely': 1, 'right': 16, 'guiding': 3, 'here': 15, 'i think': 47, 'where': 12, 'come': 5, 'this is': 7, 'is where': 3, 'could come': 3, 'as': 44, 'any': 5, 'problem': 5, 'statement': 1, 'will': 8, 'probably': 6, 'need': 24, 'how': 17, 'do': 35, 'turns': 13, 'feed': 5, 'need to': 11, 'to be': 15, 'how to': 7, 'to do': 9, 'turns feed': 3, 'but': 52, "i've": 2, 'develop': 11, 'first': 10, 'solving': 4, 'approach': 3, 'but what': 4, "what i've": 1, 'that we': 16, 'we might': 7, 'pattern first': 2, 'looking': 1, 'scaffolding': 1, 'patterns': 22, 'have': 40, 'been': 2, 'suggested': 1, 'start': 12, "we'd": 4, 'want': 7, 'form': 2, 'level': 4, 'solution': 2, 'leaving': 1, 'details': 4, 'fill': 4, 'appropriate': 2, 'looking at': 1, 'patterns that': 4, 'have been': 1, 'want to': 4, 'that would': 9, 'to fill': 1, 'roughly': 1, 'same': 5, 'your': 31, 'caption': 6, 'underneath': 2, 'second': 2, 'figure': 13, 'can': 48, 'italic': 1, 'little': 15, 'maybe we': 14, 'we can': 22, 'can make': 3, 'make that': 1, 'because that': 1, 'which': 21, 'you': 48, 'write': 3, 'up': 13, 'so': 75, 'record': 4, 'doing': 6, 'which you': 1, 'you can': 2, 'can also': 2, 'write up': 1, 'up so': 2, 'so that': 14, 'we have': 8, 'record of': 3, 'of what': 2, 'we are': 4, 'called': 2, 'actually': 17, 'what you': 4, 'are probably': 2, "here's": 2, 'an': 27, 'interesting': 5, 'thought': 3, 'formal': 2, 'treatment': 2, 'my': 16, 'then': 23, 'concepts': 8, 'from': 23, 'mentioned': 1, 'proofs': 2, 'material': 5, 'an interesting': 3, 'since we': 1, 'could look': 2, 'and then': 9, 'look for': 2, 'concepts from': 3, 'from that': 2, 'that that': 3, 'that are': 4, 'map': 5, 'back': 3, 'informal': 4, 'problems': 12, 'assume': 1, 'basis': 4, 'last': 1, 'adjacent': 3, 'terminology': 1, 'then we': 9, 'back to': 2, 'assume that': 1, 'that is': 3, "there's": 7, "we're": 9, 'talking': 2, 'family': 1, 'different': 5, 'all': 21, 'value': 1, "because we're": 1, "we're talking": 1, 'talking about': 1, 'all of': 7, 'of which': 1, 'which i': 2, 'but maybe': 1, 'right now': 3, 'multiple': 1, 'use': 22, 'if you': 6, 'you need': 2, 'carpet': 2, 'should': 42, 'show': 8, 'hide': 4, 'capability': 4, 'zones': 4, 'should have': 3, 'to show': 2, 'capability zones': 4, 'and if': 5, 'if it': 3, 'nice': 10, 'allow': 1, 'that might': 1, 'be nice': 7, 'nice to': 3, 'means': 3, 'proposed': 3, 'sonnet': 4, 'creating': 1, 'us': 8, 'we need': 12, 'to start': 4, 'well': 13, 'aware': 1, 'is something': 1, 'something that': 2, 'could be': 15, 'aware of': 1, 'big': 4, 'index': 2, 'page': 10, 'put': 13, 'software': 2, 'chats': 2, 'no': 5, 'attached': 1, 'network': 2, 'where i': 1, 'i could': 5, 'could put': 3, 'great': 6, 'demo': 4, 'similarly': 1, 'cool': 2, 'be great': 4, 'great if': 3, 'they': 11, 'we should': 24, 'should look': 3, 'look into': 2, 'that as': 3, 'as they': 1, 'install': 2, 'new': 7, 'and what': 2, 'could do': 7, 'unclear': 1, 'just': 25, 'ask': 3, 'bell': 2, 'clarify': 1, 'we just': 2, 'just ask': 1, 'ask for': 1, 'bell back': 1, 'to clarify': 1, 'days': 1, 'sounds': 2, 'heavy': 2, 'keep': 2, 'track': 1, 'progress': 2, 'can we': 5, 'we make': 1, 'about this': 3, 'so we': 13, 'can keep': 1, 'keep track': 1, 'track of': 1, "let's": 7, 'restart': 4, 'presumably': 3, 'better': 6, 'it will': 1, '小': 1, '小象': 1, 'yes': 7, 'fact': 6, 'classical': 6, 'model': 7, 'already': 4, 'tagged': 1, 'expect': 2, 'classical model': 2, "what we've": 1, 'it to': 4, 'potentially': 1, 'learning': 3, 'get': 13, 'three': 2, 'top': 4, 'via': 6, 'embedding': 1, 'method': 2, 'anything': 2, 'this as': 2, 'we do': 3, 'so it': 2, 'that or': 1, 'like it': 3, 'able': 6, 'tagging': 3, 'process': 3, 'maybe i': 1, 'i should': 2, 'should be': 5, 'be able': 5, 'able to': 6, 'and get': 1, 'get it': 1, 'move': 11, 'and we': 7, 'rather': 9, 'than': 17, 'other': 18, 'agents': 7, "don't": 11, 'available': 5, 'standard': 2, 'dispatch': 1, 'rather than': 8, 'something like': 16, "don't think": 1, 'is available': 3, 'reset': 1, 'context': 2, 'every': 1, 'many': 2, 'instructions': 1, 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'line of': 1, 'of this': 1, 'is what': 1, 'updated': 1, 'site': 1, 'my': 2, 'rather': 1, 'direct': 1, 'critique': 1, 'took': 1, 'at': 3, 'look at': 3, 'do': 1, 'make': 1, 'what do': 1, 'do you': 1, 'you make': 1, 'of that': 2, 'they': 2, 'recent': 2, 'with': 5, 'can': 2, 'find': 2, 'it': 6, 'you can': 1, 'can find': 1, 'review': 1, 'we': 3, 'got': 1, 'situation': 1, 'how we': 1, 'we got': 1, 'into this': 1, 'up': 2, 'remains': 1, 'can you': 1, 'will': 1, 'want': 1, 'account': 1, 'and i': 1, 'i will': 1, 'an account': 1, 'account of': 1, 'came': 1, 'kind': 1, 'simple': 1, 'style': 1, "i'm": 1, 'not': 1, 'would': 2, 'exactly': 1, 'up with': 1, 'kind of': 1, "i'm not": 1, 'i would': 1, 'to this': 1, "i'll": 3, 'involved': 2, 'out how': 2, 'actually': 1, 'be': 2, 'able': 1, 'number': 1, 'but': 2, 'effectively': 1, 'was': 6, 'going': 1, 'thought': 1, 'just': 1, 'yes': 1, 'um': 1, 'given': 1, 'uh': 1, 'step': 1, 'whereas': 1, 'ahead': 1, 'whole': 1, 'thing': 1, 'confused': 1, 'about': 5, 'oh': 1, 'remember': 2, 'keywords': 1, "i've": 1, 'restarted': 1, 'since': 1, 'time': 1, 'so': 3, 'keyword': 1, 'still': 2, 'close': 1, 'where': 2, 'said': 1, 'approval': 1, 'effect': 1, 'if': 1, 'wanted': 2, 'live': 1, 'case': 2, 'example': 1, 'could': 2, 'well': 1, 'landscape': 1, 'actually be': 1, 'be able': 1, 'able to': 1, 'to find': 1, 'it but': 1, 'what was': 1, 'was going': 1, 'going on': 1, 'was that': 1, 'i thought': 1, 'thought i': 1, 'i was': 2, 'was just': 1, 'yes to': 1, 'go ahead': 1, 'whole thing': 1, 'about that': 1, 'i see': 1, 'time so': 1, 'where i': 2, 'i said': 1, 'is still': 1, 'so if': 1, 'if you': 1, 'wanted to': 2, 'case for': 1, 'for that': 1, 'you could': 2, 'could look': 1, 'at that': 1, 'evidence landscape': 1, 'happen': 1, 'war': 1, 'machine': 1, 'good': 1, 'understand': 1, 'more': 1, 'works': 1, 'this is': 1, 'is something': 1, 'something that': 1, 'that is': 1, 'war machine': 1, 'so it': 1, 'it would': 1, 'would be': 1, 'be good': 1, 'good to': 1, 'to 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'that': 1, 'available': 1, 'from': 1, 'paperspace': 2, 'so what': 1, 'what are': 1, 'that are': 1, 'does': 1, 'have': 1, 'simple': 1, 'like': 1}, 'provide-reference': {'www': 2, 'formal': 1, 'elephant': 2, 'paperspace': 1}, 'withdraw': {'no': 1, 'to': 1}, 'concede': {"it's": 1, 'not': 1, 'useful': 1, "you're": 1, 'busy': 1, 'coding': 1, 'and': 1, 'would': 1, 'be': 1, 'slow': 1, "it's not": 1, 'would be': 1}, 'reframe': {'minutes': 1, 'is': 1, 'forever': 1, 'time': 1}}}

CLAUDE_ROOT = "~/.claude/projects"
CODEX_ROOT = "~/.codex/sessions"
_INJECTED = ("<", "# AGENTS.md", "[compacted", "Caveat:")


def _typed(text: str) -> str | None:
    text = text.strip()
    if not text or text.startswith(_INJECTED):
        return None
    # Agency-relayed turns carry a routing header; the person's words follow it.
    # Only an operator's turn was typed by a person; the rest are agents'.
    marker = "\nUser message:\n"
    if text.startswith("--- CURRENT TURN ---"):
        header, _, rest = text.partition(marker)
        if "\nOrigin: operator\n" not in header + "\n":
            return None
        text = rest.strip()
    return text or None


def claude_turns(record: dict) -> list[str]:
    if record.get("type") != "user" or record.get("isMeta") or record.get("isSidechain"):
        return []
    content = (record.get("message") or {}).get("content")
    if isinstance(content, str):
        texts = [content]
    elif isinstance(content, list):
        if any(isinstance(b, dict) and b.get("type") == "tool_result" for b in content):
            return []
        texts = [b.get("text", "") for b in content
                 if isinstance(b, dict) and b.get("type") == "text"]
    else:
        return []
    return [t for t in (_typed(x) for x in texts) if t]


def codex_turns(record: dict) -> list[str]:
    payload = record.get("payload")
    if (record.get("type") != "response_item" or not isinstance(payload, dict)
            or payload.get("type") != "message" or payload.get("role") != "user"):
        return []
    return [t for t in (_typed(b.get("text", "")) for b in payload.get("content") or []
                        if isinstance(b, dict) and b.get("type") == "input_text") if t]


def log_files(root: str, pattern: str, days: float | None) -> list[Path]:
    base = Path(os.path.expanduser(root))
    if not base.is_dir():
        return []
    cutoff = time.time() - days * 86400 if days else 0
    return sorted(p for p in base.glob(pattern) if p.stat().st_mtime >= cutoff)


def read(files: list[tuple[str, Path]], model: dict, progress=None) -> dict:
    intents: Counter = Counter()
    secret_kinds: Counter = Counter()
    secret_files: Counter = Counter()
    # Logs repeat themselves (compaction copies history), so count distinct
    # values.  Only a hash is kept, in memory, for the length of the run.
    distinct: dict[str, set] = {}
    turns = unsure = 0
    total = sum(p.stat().st_size for _, p in files) or 1
    done = 0
    for n, (source, path) in enumerate(files, 1):
        with open(path, encoding="utf-8", errors="replace") as fh:
            for line in fh:
                found = scan(line)
                for f in found:
                    secret_kinds[f.kind] += 1
                    distinct.setdefault(f.kind, set()).add(
                        hashlib.sha256(line[f.start:f.end].encode()).digest())
                if found:
                    secret_files[str(path)] += len(found)
                try:
                    record = json.loads(line)
                except ValueError:
                    continue
                if not isinstance(record, dict):
                    continue
                for text in (claude_turns if source == "claude" else codex_turns)(record):
                    clean, _ = redact(text)
                    turns += 1
                    if evidence(model, clean):
                        intents[classify(model, clean, 1)[0][0]] += 1
                    else:
                        unsure += 1
        done += path.stat().st_size
        if progress:
            progress(n, len(files), done / total)
    return {"files": len(files), "turns": turns, "intents": dict(intents.most_common()),
            "too_little_to_go_on": unsure, "secrets": sum(secret_kinds.values()),
            "distinct_secrets": sum(len(v) for v in distinct.values()),
            "secret_kinds": {k: {"distinct": len(distinct[k]), "occurrences": n}
                             for k, n in secret_kinds.most_common()},
            "files_with_secrets": dict(secret_files.most_common())}


def render(report: dict) -> str:
    out = [f"Read {report['turns']} turns you typed, in {report['files']} log files.", ""]
    if report["turns"]:
        out.append("What kinds of request you make (小象's reading, which is often wrong):")
        classified = sum(report["intents"].values()) or 1
        for intent, n in report["intents"].items():
            out.append(f"  {intent:<16} {n:>6}  {100 * n / classified:5.1f}%  "
                       + "#" * round(40 * n / classified))
        if report["too_little_to_go_on"]:
            out.append(f"  ({report['too_little_to_go_on']} turns had too little to go on)")
        out.append("")
    out.append(f"Suspected credentials in these logs: {report['distinct_secrets']} distinct "
               f"values, appearing {report['secrets']} times")
    for kind, n in report["secret_kinds"].items():
        out.append(f"  {kind:<20} {n['distinct']:>6} distinct  {n['occurrences']:>8} times")
    if report["files_with_secrets"]:
        out.append("Files holding them (values are never printed):")
        for path, n in list(report["files_with_secrets"].items())[:20]:
            out.append(f"  {n:>5}  {path}")
    return "\n".join(out)


def main(argv=None) -> int:
    ap = argparse.ArgumentParser(
        description="Read your own Claude Code and Codex logs locally: the kinds of "
                    "request you make, and credentials left in the logs.")
    ap.add_argument("--days", type=float, help="only logs modified in the last N days")
    ap.add_argument("--claude", default=CLAUDE_ROOT, help=f"default {CLAUDE_ROOT}")
    ap.add_argument("--codex", default=CODEX_ROOT, help=f"default {CODEX_ROOT}")
    ap.add_argument("--json", action="store_true", help="print the report as JSON")
    if MODEL is None:
        ap.add_argument("--model", required=True, help="model JSON from xiaoxiang.py export")
    a = ap.parse_args(argv)
    model = MODEL
    if model is None:
        with open(a.model, encoding="utf-8") as fh:
            model = json.load(fh)
    files = ([("claude", p) for p in log_files(a.claude, "*/*.jsonl", a.days)]
             + [("codex", p) for p in log_files(a.codex, "*/*/*/rollout-*.jsonl", a.days)])
    if not files:
        print("No Claude Code or Codex logs found.", file=sys.stderr)
        return 1
    start = time.time()

    def progress(n, total, share):
        spent = time.time() - start
        left = spent / share - spent if share else 0
        print(f"\r  {n}/{total} files, {100 * share:.0f}%, about {left / 60:.0f} min left ",
              end="", file=sys.stderr, flush=True)

    report = read(files, model, progress if sys.stderr.isatty() else None)
    if sys.stderr.isatty():
        print(file=sys.stderr)
    print(json.dumps(report, indent=1) if a.json else render(report))
    return 0


if __name__ == "__main__":
    sys.exit(main())