"Do I have to export within N days?" is answerable from the exports
already on disk — the renderer records every image's outcome inline
( when saved, a placeholder when not) and the
conversation date is in the filename. Group by month and source and the
hypotheses separate: a clean old/new cutoff means expiry, user_upload
dying at an age model_generated survives means the source matters, and
losses scattered through months that otherwise downloaded fine means
neither.
Offline, no token, no API calls.
Media downloads logged "HTTP Error 403:" with no reason. That string is
curl_cffi's raise_for_status() format, "HTTP Error {code}: {reason}", and
HTTP/2 carries no reason phrase — so the message said nothing, and
_make_request threw the response body away. The provider's JSON `detail`
is the only explanation available for a refused asset.
- base._make_request: end non-retryable statuses with a ProviderError
carrying the body's detail/error/message (redacted, truncated to 300
chars) instead of a bare raise_for_status().
- media: bucket 403 as `forbidden` in the run summary, separately from
`download-error` — "the asset is gone" and "we were refused" are
different problems.
- utils.redact_secrets: match secret key names per word. Exact matching
let access_token, api_key, and session-token through into logged
bodies; "keywords"/"monkey"/"tokenizer" stay intact.
- tests/test_config.py: test_defaults depended on the absence of a local
.env — load_config() calls load_dotenv(override=False), which restored
the variable the test had just deleted. Stub dotenv discovery.
305 tests pass.
The export reads ChatGPT's and Claude's undocumented internal web APIs,
which can change shape without notice; the worst failure for a backup tool
is a silent one (skipped/mis-parsed content with no error). Add a `canary`
command + BaseProvider.check_drift() (overridden by ChatGPT/Claude) that
fetches one listing page + one conversation per provider and asserts only
the normalizer's load-bearing fields — not the full response shape, which
churns harmlessly. The top silent risk it guards is a renamed retrieval-tool
author bypassing the hidden-content collapse. ERROR findings exit non-zero;
WARN findings are surfaced but non-fatal so a backup run is never blocked.
Also retires the in-app watch mode and headless StartOS direction from the
roadmap (tool stays a local, manually-run CLI) and updates docs.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
ChatGPT session tokens are JWEs whose `exp` is encrypted and unreadable
client-side, so the old JWT-decode path could never yield an expiry, and the
`/api/auth/session` `expires` is a misleading rolling window (it advances on
every call even for a dead token). The honest signal is the `error` field:
`RefreshAccessTokenError` means the session token is dead while `expires` and
a stale `accessToken` are still echoed (verified live).
- Add ChatGPTProvider.session_health() and a "ChatGPT token active" doctor
check based on it; drop the dead JWE/exp decode path in doctor and auth.
- Fix _fetch_access_token to fail fast on a set `error` instead of returning
the stale accessToken (which produced a confusing downstream 401).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
First real-data export against v0.4.0 surfaced 66 unknown blocks across
three content types — captured live and added.
Added:
- execution_output (Code Interpreter / container.exec / python tool
output) → tool_result block. output=content.text,
tool_name=author.name, is_error=metadata.aggregate_result.status,
summary=metadata.reasoning_title
- system_error → error tool_result with tool_name=author.name
- tether_browsing_display: spinner placeholders (empty result+summary)
skip silently with DEBUG log; defensive populated-case branch maps
to tool_result (untested in real data)
- tool_result block schema: optional `summary` field rendered as
italic line between header and fence
- tool_result rendering: tool_name appears in header when present
(e.g. `📤 Result: container.exec`); existing tool_name=None calls
unchanged
- _ROLE_LABELS["tool"] = ("🔧 Tool", "tool")
Fixed:
- chatgpt.normalize_conversation reads `conversation_id` as fallback
for `id`. Live API uses conversation_id; fixtures use id.
Pre-fix: empty id in YAML frontmatter and missing context in
WARNING logs.
Tests: 11 new (192 total, 0 failures). Fixture extended with 4
tool-output cases (execution_output success, empty execution_output
that should skip, system_error, tether_browsing_display spinner).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Extracts per-message content into a typed `blocks` list (text, code,
thinking, tool_use, tool_result, image_placeholder, file_placeholder,
unknown) and renders them at exporter write time. Voice transcripts,
Custom Instructions, and image references now appear in exports
instead of being silently dropped.
Foundation:
- src/blocks.py: pure block constructors, _safe_fence (fence-corruption
defense, verified live in Joplin), _blockquote_prefix, render
- src/loss_report.py: per-run tally surfaced as INFO summary at end of
export so silently-dropped data becomes visible
Providers:
- ChatGPT: dispatch on content_type produces typed blocks; voice shapes
(audio_transcription, audio_asset_pointer, real_time_user_audio_video_
asset_pointer) locked from live DevTools capture; Custom Instructions
bug fix (parts-vs-direct-fields); role filter lifted; hidden-context
marker driven by is_visually_hidden_from_conversation flag
- Claude: defensive dispatch for text/thinking/tool_use/tool_result/image
with recursive nested-block flattening; untested against real rich-
content data — fix-forward in v0.4.1
Exporter:
- Markdown renders from blocks at write time via render_blocks_to_markdown;
backward-compat fallback to content for any pre-v0.4.0 cached data
Tests:
- 27 new tests across providers, exporters, CLI; fixtures rebuilt with
real-shape ChatGPT voice + Custom Instructions cases
- 181/181 pass
Behavior changes (intentional):
- JSON output omits content; consumers should read blocks
- Per-conversation message counts increase (Custom Instructions, image-
only, tool-only messages now appear)
- Existing exports not auto-re-rendered; users wanting fresh output run
cache --clear then export
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Core features:
- Add `joplin` command: syncs exported Markdown to Joplin via local REST API
- Notebooks auto-created per provider+project (e.g. "ChatGPT - My Project")
- Idempotent: notes updated (not duplicated) on re-run; note ID tracked in manifest
- Add `--project` filter to `export` and `list` commands (substring or 'none')
- Add ChatGPT Projects support via CHATGPT_PROJECT_IDS env var
Config:
- Add JOPLIN_API_TOKEN, JOPLIN_API_URL, JOPLIN_REQUEST_TIMEOUT
- Version now read from importlib.metadata (single source of truth: pyproject.toml)
- Bump version to 0.2.0
Quality:
- Explicit Timeout handling in JoplinClient with actionable error messages
- token validation (validate_token) separate from connectivity (ping)
- Remove debug_auth.py, debug_claude.py, and untracked .har file
- Add *.har to .gitignore (may contain auth cookies/session tokens)
- Update README, CHANGELOG, FUTURE.md to reflect v0.2.0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
JesseMarkowitz
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