diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 2a17505..9b0f069 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -15,17 +15,17 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.10", "3.14"] + python-version: ["3.10", "3.12", "3.14"] steps: - name: Check out repository - uses: actions/checkout@v6 + uses: actions/checkout@v7 - name: Install uv uses: astral-sh/setup-uv@v7 - name: Set up Python - uses: actions/setup-python@v6 + uses: actions/setup-python@v7 with: python-version: ${{ matrix.python-version }} @@ -36,13 +36,15 @@ jobs: run: uv sync --frozen --dev - name: Lint - run: uv run ruff check . + run: | + uv run ruff check . + uv run ruff format --check . - name: Test run: uv run pytest - name: Build package - run: uv run python -m build + run: uv run python -m build --installer uv - name: Check package metadata run: uv run python -m twine check dist/* diff --git a/CHANGELOG.md b/CHANGELOG.md index bb278f8..a546855 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,6 +4,32 @@ All notable changes to this project are documented in this file. The format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project uses semantic versioning before its first stable release. +## [0.2.0] - 2026-09-15 + +### Changed + +- Native Codex image generation/edit endpoints are now the default, following the Codex request format. The backend controls the actual image model. +- The original streamed backend remains available with `--backend responses`. Reasoning `--model`/`--profile` apply only to that backend and do not select the image generator. +- Remove the experimental `--image-model` flag and `CODEX_IMAGEGEN_IMAGE_MODEL` override: live requests also accepted a nonexistent model name without returning model identity, so model selection could not be verified. +- Explicit dimensions are validated against image-size constraints. Actual dimensions are reported; `--size-policy warn|error` controls mismatches without resizing. +- Unsupported transparency on the default path is rejected before contacting the backend. +- Refresh Pillow, the publishing toolchain and all locked dependencies; constrain Hatchling to the tested minor release and update CI actions/Python coverage. + +### Fixed + +- Preserve raw JWT ID tokens during refresh; write credentials atomically with restricted POSIX permissions, coordinate imagegen refreshes and detect external credential changes. +- Validate and atomically save complete PNG/WebP outputs; protect existing files on failures and publish each successful path immediately. +- Apply EXIF orientation before edit-input compaction and reject corrupt inputs. +- Parse TOML model/profile settings correctly; explain file-only credential support. +- Normalize batch inputs, reject non-string prompts and escaped outputs, and honor continuation for per-job validation failures. +- Handle CRLF and split UTF-8 in SSE, terminal response results, truncated transport reads, HTTP 429/Retry-After and rate limits after authentication refresh. +- Validate positive finite timeouts and present expected filesystem failures as CLI errors. + +### Added + +- Promote audit regressions to the normal suite and add native-backend, concurrency, persistence, output and retry coverage. +- Add opt-in live generation/edit compatibility tests that never refresh shared credentials. + ## [0.1.0] - 2026-06-01 ### Added diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 43b3b8a..5561299 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -6,7 +6,7 @@ Contributions are welcome when they improve the CLI, Codex-auth image backend be ```bash uv lock --check -uv sync --dev +uv sync --frozen --dev uv run pytest uv run ruff check . ``` @@ -21,10 +21,20 @@ Before opening a PR, run: uv lock --check uv run pytest uv run ruff check . -uv run python -m build +uv run python -m build --installer uv uv run python -m twine check dist/* ``` ## Project Boundaries -`codex-imagegen-cli` mirrors the stable Codex ChatGPT image-generation path from openai/codex. It should not require `OPENAI_API_KEY`, shell out to `codex exec`, print auth tokens, or depend on a locally installed Codex skill. +`codex-imagegen-cli` tracks the private Codex ChatGPT image-generation paths from openai/codex. It should not require `OPENAI_API_KEY`, shell out to `codex exec`, print auth tokens, or depend on a locally installed Codex skill. + +## Compatibility coverage + +Use Python 3.10, 3.12 and 3.14 for release checks. Normal tests must never read real credentials or perform network requests. Codex login compatibility tests use synthetic tokens in a temporary Codex home. + +Run `CODEX_IMAGEGEN_LIVE_TEST=1 uv run pytest -m live -v` only when you intend to spend account usage on three image requests. The check disables credential refresh and backend retries. No server is needed. + +When updating dependencies, run `uv lock --upgrade`, the tests, Ruff lint/format checks, and both artifact checks. The build-system Hatchling range is deliberate: update it alongside a compatible Twine/Packaging toolchain. Review published advisories for locked runtime and development dependencies. + +`--model`/`--reasoning-model` controls only the Responses reasoning model. Do not expose an image-model selector without evidence that the backend honors it and reports model identity. Do not silently retry a failed image through a different backend or resize an output to hide a backend mismatch. diff --git a/README.md b/README.md index 2408391..8bc4f18 100644 --- a/README.md +++ b/README.md @@ -27,13 +27,13 @@ Uses your existing **Codex ChatGPT login** — no `OPENAI_API_KEY` required. [Codex](https://github.com/openai/codex) (OpenAI's CLI coding agent) has image generation built in — but it's prompt-driven and agentic, not a scriptable command. There is no `codex image generate` subcommand, no `--size` or `--quality` flags, and the documented automation primitive (`codex exec`) emits assistant text, not image bytes. -This CLI fills that gap by calling Codex's backend directly, using your existing ChatGPT subscription auth. No `OPENAI_API_KEY` needed, as it's not API billing - just the same image generation Codex uses internally, exposed as a scriptable tool for `generate`, `edit`, and `batch` workflows with clear options for **model**, **size**, **quality**, **background**, and **output**. +This CLI fills that gap by calling Codex's backend directly, using your existing ChatGPT subscription auth. No `OPENAI_API_KEY` needed, as it's not API billing - just the same image generation Codex uses internally, exposed as a scriptable tool for `generate`, `edit`, and `batch` workflows with clear options for **reasoning model** (Responses backend), **size**, **quality**, **background**, and **output**. ## Requirements - Python 3.10+ - `uv` -- Codex logged in with ChatGPT auth +- Codex logged in with file-based ChatGPT auth Run Codex login once if needed: @@ -41,7 +41,7 @@ Run Codex login once if needed: codex login ``` -Choose the ChatGPT login flow. The CLI reads `$CODEX_HOME/auth.json` or `~/.codex/auth.json`, refreshes tokens when needed, and never prints token values. +Choose the ChatGPT login flow. The CLI reads `$CODEX_HOME/auth.json` or `~/.codex/auth.json`, refreshes tokens when needed, and never prints token values. Keyring-only and ephemeral credentials are not supported; if needed, set `cli_auth_credentials_store = "file"` in Codex `config.toml` before logging in. ## First Run @@ -92,7 +92,7 @@ codex-imagegen generate \ --n 3 ``` -Multiple outputs are written as `bronze-shield-1.png`, `bronze-shield-2.png`, and so on. +Multiple outputs are written as `bronze-shield-1.png`, `bronze-shield-2.png`, and so on. Each saved path is printed immediately; if a later request fails, earlier outputs remain available. Write WebP directly by using a `.webp` output path: @@ -143,7 +143,7 @@ The style image counts toward the same one-to-five edit image limit. The CLI uses WebP in two different places: -- **Input WebP for edits.** When you run `edit`, local input images are resized if needed and converted to WebP before they are sent to Codex. This makes large PNG/JPEG files much smaller in the request, which helps avoid broken uploads and reduces pressure on Codex's input-image quota. Your original file is not modified. +- **Input WebP for edits.** When you run `edit`, local input images are corrected for EXIF orientation, resized if needed, and converted to WebP before they are sent to Codex. This makes large PNG/JPEG files much smaller in the request, which helps avoid broken uploads and reduces pressure on Codex's input-image quota. Your original file is not modified. - **Output WebP for saved files.** Codex returns PNG image bytes. If `--out` ends in `.webp`, or you set `--output-format webp`, the CLI converts the returned PNG to WebP locally before saving it. Example: @@ -155,7 +155,7 @@ codex-imagegen edit \ --out output/profile.webp ``` -In that command, `input/profile.png` is compacted to WebP for the request, and `output/profile.webp` is saved as WebP. +In that command, `input/profile.png` is compacted to WebP for the request, and `output/profile.webp` is saved as WebP. Invalid input images are rejected locally. Output images are validated and saved atomically, preserving existing files if validation or conversion fails. ## Batch @@ -176,11 +176,13 @@ codex-imagegen batch \ Each line can be either a JSON string prompt or an object with: -- `prompt`: required text prompt -- `out`: optional output filename, resolved under `--out-dir` -- `images`: optional list of image paths for edit jobs +- `prompt`: required non-empty text prompt +- `out`: optional output filename, resolved under `--out-dir`; paths escaping that directory are rejected +- `images`: optional list of image paths for edit jobs; `null` is treated as an empty list - `mode`: optional `generate` or `edit`; defaults to `edit` when images are present +Per-job validation or backend failures are reported and later jobs continue unless `--fail-fast` is set. Any failed job produces exit status 1. + ## Useful Flags - `--prompt-file prompt.txt`: read the prompt from a file @@ -188,11 +190,14 @@ Each line can be either a JSON string prompt or an object with: - `--cd PATH`: base directory for resolving relative paths - `--auth-file PATH`: read a specific Codex `auth.json` - `--codex-home PATH`: read auth from another Codex home directory -- `--model MODEL`: override the Codex reasoning model used by the direct hosted image tool. +- `--backend native|responses`: choose the backend; default: `native`. +- `--model MODEL` / `--reasoning-model MODEL`: override the reasoning model with `--backend responses` only; does not select the image generator. +- `--profile NAME`: select a Codex reasoning-model profile with `--backend responses` only. - `--base-url URL`: override the Codex backend URL for development -- `--background auto|transparent|opaque`: direct `background` parameter. +- `--background auto|opaque`: direct `background` parameter. Explicit `transparent` is unsupported on the tested backend and rejected locally. - `--quality auto|low|medium|high`: direct `quality` parameter. -- `--size auto|1024x1024|1536x1024|1024x1536`: direct `size` parameter. +- `--size auto|WIDTHxHEIGHT`: requested dimensions; see constraints below. +- `--size-policy warn|error`: on a dimension mismatch, warn and save (default), or fail without writing the output. - `--style-image PATH`: edit mode only. Use this image as the style reference; `--image` stays the content image and `--prompt` becomes optional extra guidance. - `--output-format auto|png|webp`: output file format. Default: infer from `--out`; `.webp` writes WebP, everything else writes PNG. - `--webp-quality 1..100`: WebP encoder quality. Default: `85`. @@ -203,11 +208,20 @@ Each line can be either a JSON string prompt or an object with: ## Backend Path -The CLI calls Codex directly through the enabled hosted image-generation path: +The default `--backend native` uses Codex's native image endpoints: + +```text +POST https://chatgpt.com/backend-api/codex/images/generations +POST https://chatgpt.com/backend-api/codex/images/edits +``` + +Generation sends `model`, `prompt`, `size`, `quality`, and `background`; edits also send `images: [{"image_url": "data:image/webp;base64,..."}]`. Results contain `data[].b64_json`. The fixed request field `model: "gpt-image-2"` follows Codex's request format; it does not verify the actual output model. The backend controls the image generator, and GPT Image 2.5 availability cannot be confirmed. There is no `--image-model` option; `CODEX_IMAGEGEN_IMAGE_MODEL` has no effect. + +Use `--backend responses` for the original hosted image-generation path: `POST https://chatgpt.com/backend-api/codex/responses` -The request forces the hosted `image_generation` tool and sends exact image options as tool parameters: +On this backend, the request forces the hosted `image_generation` tool and sends image options as tool parameters: ```json { @@ -233,7 +247,7 @@ The request forces the hosted `image_generation` tool and sends exact image opti } ``` -Edit requests add input images to the user message: +Responses edit requests add input images to the user message: ```json { @@ -247,11 +261,15 @@ Edit requests add input images to the user message: With `--style-image`, the content image is sent first and the style image is sent last. The text instruction labels that final image as style-only, so Codex has a clearer separation between "what to keep" and "what visual style to borrow." +With `--backend responses`, reasoning-model precedence is `--model`, `CODEX_IMAGEGEN_MODEL`, the selected Codex profile, the top-level Codex model, then `gpt-5.5`. `--profile` overrides the profile selected in `config.toml`. Native requests do not use reasoning-model settings. Existing commands with `--model` must add `--backend responses`; there is no automatic fallback between backends. + The accepted image preference values are: -- `size`: `auto`, `1024x1024` square, `1536x1024` landscape, or `1024x1536` portrait +- `size`: `auto` or `WIDTHxHEIGHT`, including `1024x1024` square, `1536x1024` landscape, or `1024x1536` portrait. Explicit dimensions must be divisible by 16, with no edge above 3840, an aspect ratio between 1:3 and 3:1, and 655,360–8,294,400 total pixels. - `quality`: `auto`, `low`, `medium`, or `high` -- `background`: `auto`, `transparent`, or `opaque` +- `background`: `auto` or `opaque` + +Requested dimensions are not guaranteed. The CLI reports actual dimensions and warns on mismatches by default. `--size-policy error` rejects a mismatched output without saving it, even with `--force`; the generation has already occurred and may have consumed usage. The CLI does not resize or crop output to match the request. `n` is handled by the CLI by running one hosted image request per output path. For edit jobs, repeated outputs may wait for the per-minute input-image quota window before retrying; if the bucket stays full, retries back off progressively. @@ -265,9 +283,9 @@ Codex returns PNG bytes; when the requested output is WebP, the CLI converts the - reads Codex auth from `$CODEX_HOME/auth.json` or `~/.codex/auth.json` - refreshes the ChatGPT access token when needed - compacts edit input images to WebP before upload -- sends a direct Codex `/responses` request with an exact hosted `image_generation` tool by default -- streams the `image_generation_call.result` PNG bytes -- writes PNG output directly, or converts locally to WebP when requested +- sends a native Codex image request by default, or a hosted `image_generation` tool request with `--backend responses` +- decodes PNG bytes from the native JSON response or streamed Responses result +- validates and atomically saves PNG output, or converts locally to WebP when requested Dry runs only print the planned request and output paths; they do not read auth or contact Codex. @@ -277,8 +295,8 @@ This project relies on Codex's current authenticated app behavior, not a public A few things worth knowing: -- **Subscription only.** The built-in Codex image generation path is gated to ChatGPT auth (Plus, Pro, Business, Edu, Enterprise). It is not available on the Free plan and does not work with an `OPENAI_API_KEY` session — that key routes to the Images API instead, under separate billing. -- **Usage limits apply.** Image generations consume your Codex account's included limits, roughly 3–5× faster than a comparable non-image turn. Edit jobs also consume an input-image quota; if that per-minute bucket is full, the CLI waits and retries. +- **Subscription only.** This CLI requires file-based ChatGPT auth and account access to Codex image generation. It does not support API-key sessions or route requests to the public Images API. Account eligibility can change. +- **Usage limits apply.** Image generations consume your Codex account's included limits. Edit jobs also consume an input-image quota; if that per-minute bucket is full, the CLI waits and retries. - **No stable API contract.** Codex internals and account policies can change. The CLI may stop working or behave differently after a Codex update, and OpenAI has not documented this as a supported automation surface. We will try to keep this project updated as long as this usage remains possible and allowed. @@ -290,15 +308,22 @@ uv lock --check uv sync --dev uv run pytest uv run ruff check . +uv run ruff format --check . ``` Build and validate release artifacts: ```bash -uv run python -m build +uv run python -m build --installer uv uv run python -m twine check dist/* ``` +Offline tests use synthetic credentials. Opt-in live checks make three image requests (native generation/edit and Responses generation), consume account usage, and disable credential refresh: + +```bash +CODEX_IMAGEGEN_LIVE_TEST=1 uv run pytest -m live -v +``` + ## Update And Uninstall Update a source install from the checkout: @@ -320,6 +345,6 @@ Report security issues privately through GitHub Security Advisories when availab ## Project Status -`0.1.0` is an alpha source-install release. The CLI command shape, JSONL batch format, and Codex backend behavior may change before a stable release. +`0.2.0` is an alpha source-install release. The CLI command shape, JSONL batch format, and Codex backend behavior may change before a stable release. See [CONTRIBUTING.md](CONTRIBUTING.md), [CHANGELOG.md](CHANGELOG.md), and [LICENSE](LICENSE). diff --git a/codex_imagegen_cli/__init__.py b/codex_imagegen_cli/__init__.py index 761e803..4af43b0 100644 --- a/codex_imagegen_cli/__init__.py +++ b/codex_imagegen_cli/__init__.py @@ -1,3 +1,3 @@ """Scriptable image generation with Codex ChatGPT auth.""" -__version__ = "0.1.0" +__version__ = "0.2.0" diff --git a/codex_imagegen_cli/cli.py b/codex_imagegen_cli/cli.py index 0887547..71cfa0a 100644 --- a/codex_imagegen_cli/cli.py +++ b/codex_imagegen_cli/cli.py @@ -2,34 +2,47 @@ import argparse import base64 -from io import BytesIO -from datetime import datetime, timezone +import codecs +import copy import json -import mimetypes +import math import os import platform -from pathlib import Path import re import shutil import subprocess import sys +import tempfile import time +from collections.abc import Sequence +from contextlib import contextmanager from dataclasses import dataclass -from typing import Any, List, Optional, Sequence, Tuple +from datetime import datetime, timezone +from email.utils import parsedate_to_datetime +from http.client import HTTPException +from io import BytesIO +from pathlib import Path +from typing import Any from urllib import error, request -from PIL import Image +from PIL import Image, ImageOps -from codex_imagegen_cli import __version__ +try: + import tomllib +except ImportError: # Python 3.10 + import tomli as tomllib +from codex_imagegen_cli import __version__ DEFAULT_BASE_URL = "https://chatgpt.com/backend-api/codex" DEFAULT_REFRESH_URL = "https://auth.openai.com/oauth/token" CODEX_CLIENT_ID = "app_EMoamEEZ73f0CkXaXp7hrann" DEFAULT_CODEX_MODEL = "gpt-5.5" +# Match Codex request format; the backend does not report the actual image model. +NATIVE_REQUEST_MODEL = "gpt-image-2" +MAX_IMAGE_BYTES = 32 * 1024 * 1024 MAX_EDIT_IMAGES = 5 DEFAULT_ORIGINATOR = "codex_cli_rs" -IMAGE_SIZE_CHOICES = ("auto", "1024x1024", "1536x1024", "1024x1536") OUTPUT_FORMAT_CHOICES = ("auto", "png", "webp") MAX_RESPONSES_IMAGE_RETRIES = 4 INPUT_IMAGE_RATE_LIMIT_DELAYS = (65.0, 130.0, 260.0, 300.0) @@ -42,7 +55,8 @@ class CliError(Exception): class HttpError(CliError): - def __init__(self, status: int, body: str) -> None: + def __init__(self, status: int, body: str, retry_after: str | None = None) -> None: + self.retry_after = retry_after super().__init__(f"HTTP {status}: {body[:800]}") self.status = status self.body = body @@ -85,22 +99,19 @@ def _log(message: str) -> None: print(message, file=sys.stderr) -def _read_prompt(prompt: Optional[str], prompt_file: Optional[str], cd: Path) -> str: +def _read_prompt(prompt: str | None, prompt_file: str | None, cd: Path) -> str: text = _read_optional_prompt(prompt, prompt_file, cd) if text is None: raise CliError("Missing prompt. Use --prompt or --prompt-file.") return text -def _read_optional_prompt(prompt: Optional[str], prompt_file: Optional[str], cd: Path) -> Optional[str]: - if prompt and prompt_file: +def _read_optional_prompt(prompt: str | None, prompt_file: str | None, cd: Path) -> str | None: + if prompt is not None and prompt_file is not None: raise CliError("Use --prompt or --prompt-file, not both.") - if prompt_file: - path = _resolve_path(prompt_file, cd) - if not path.exists(): - raise CliError(f"Prompt file not found: {path}") - text = path.read_text(encoding="utf-8").strip() - elif prompt: + if prompt_file is not None: + text = _read_text(_resolve_path(prompt_file, cd), "Prompt file").strip() + elif prompt is not None: text = prompt.strip() else: return None @@ -109,7 +120,14 @@ def _read_optional_prompt(prompt: Optional[str], prompt_file: Optional[str], cd: return text -def _style_transfer_prompt(extra_prompt: Optional[str] = None) -> str: +def _read_text(path: Path, label: str) -> str: + try: + return path.read_text(encoding="utf-8") + except (OSError, UnicodeError) as exc: + raise CliError(f"{label} could not be read: {path} ({exc})") from exc + + +def _style_transfer_prompt(extra_prompt: str | None = None) -> str: prompt = ( "Create a new version of the first input image. Preserve its main subject, identity, " "composition, proportions, and important details. Use the final input image only as a style " @@ -121,7 +139,7 @@ def _style_transfer_prompt(extra_prompt: Optional[str] = None) -> str: return prompt -def _resolve_cd(raw_cd: Optional[str]) -> Path: +def _resolve_cd(raw_cd: str | None) -> Path: cd = Path(raw_cd or os.getcwd()).expanduser().resolve() if not cd.exists(): raise CliError(f"--cd directory does not exist: {cd}") @@ -151,12 +169,12 @@ def _slugify(value: str) -> str: return value[:60] or "image" -def _load_jobs_jsonl(path: str, cd: Path) -> List[dict[str, Any]]: +def _load_jobs_jsonl(path: str, cd: Path) -> list[dict[str, Any]]: input_path = _resolve_path(path, cd) if not input_path.exists(): raise CliError(f"Batch input not found: {input_path}") - jobs: List[dict[str, Any]] = [] - for line_no, raw in enumerate(input_path.read_text(encoding="utf-8").splitlines(), start=1): + jobs: list[dict[str, Any]] = [] + for line_no, raw in enumerate(_read_text(input_path, "Batch input").splitlines(), start=1): line = raw.strip() if not line or line.startswith("#"): continue @@ -168,15 +186,17 @@ def _load_jobs_jsonl(path: str, cd: Path) -> List[dict[str, Any]]: item = {"prompt": item} if not isinstance(item, dict): raise CliError(f"Line {line_no} must be a JSON string or object.") - prompt = str(item.get("prompt", "")).strip() - if not prompt: + prompt = item.get("prompt") + if not isinstance(prompt, str) or not prompt.strip(): raise CliError(f"Line {line_no} is missing a non-empty prompt.") images = item.get("images", []) if images is None: images = [] if not isinstance(images, list) or not all(isinstance(v, str) for v in images): raise CliError(f"Line {line_no} images must be a list of strings.") - jobs.append(item) + if "out" in item and (not isinstance(item["out"], str) or not item["out"].strip()): + raise CliError(f"Line {line_no} out must be a non-empty string.") + jobs.append({**item, "prompt": prompt.strip(), "images": images}) if not jobs: raise CliError("Batch input did not contain any jobs.") return jobs @@ -222,10 +242,12 @@ def _auth_file(args: argparse.Namespace) -> Path: def _load_auth(auth_file: Path) -> dict[str, Any]: if not auth_file.exists(): raise CliError( - f"Codex auth file not found: {auth_file}. Run `codex login` and choose ChatGPT." + f"Codex auth file not found: {auth_file}. This CLI requires file-based ChatGPT auth; " + 'keyring and ephemeral credentials are not supported. Set cli_auth_credentials_store = "file" ' + "in Codex config before logging in, or use --auth-file with an existing auth.json." ) try: - data = json.loads(auth_file.read_text(encoding="utf-8")) + data = json.loads(_read_text(auth_file, "Codex auth file")) except json.JSONDecodeError as exc: raise CliError(f"Invalid Codex auth file JSON: {auth_file}") from exc if not isinstance(data, dict): @@ -252,11 +274,13 @@ def _access_token(auth: dict[str, Any]) -> str: raise CliError("Codex ChatGPT auth not found. Run `codex login` and choose ChatGPT.") access_token = tokens.get("access_token") if not isinstance(access_token, str) or not access_token: - raise CliError("Codex ChatGPT access token not found. Run `codex login` and choose ChatGPT.") + raise CliError( + "Codex ChatGPT access token not found. Run `codex login` and choose ChatGPT." + ) return access_token -def _account_id(auth: dict[str, Any]) -> Optional[str]: +def _account_id(auth: dict[str, Any]) -> str | None: tokens = auth.get("tokens") if isinstance(tokens, dict): account_id = tokens.get("account_id") @@ -341,7 +365,7 @@ def _id_token_from_jwt(raw_jwt: str) -> dict[str, Any]: def _post_json( url: str, *, - headers: Optional[dict[str, str]] = None, + headers: dict[str, str] | None = None, payload: dict[str, Any], timeout: float, ) -> dict[str, Any]: @@ -355,66 +379,78 @@ def _post_json( raw = response.read().decode("utf-8") except error.HTTPError as exc: raw = exc.read().decode("utf-8", errors="replace") - raise HttpError(exc.code, raw) from exc + raise HttpError( + exc.code, raw, exc.headers.get("Retry-After") if exc.headers else None + ) from exc except error.URLError as exc: raise TransportError(f"Request failed: {exc.reason}") from exc - except OSError as exc: + except (OSError, HTTPException, UnicodeError) as exc: raise TransportError(f"Request failed: {exc}") from exc if not raw: return {} try: parsed = json.loads(raw) except json.JSONDecodeError as exc: - raise CliError(f"Response was not valid JSON: {raw[:800]}") from exc + raise CliError("Response was not valid JSON.") from exc if not isinstance(parsed, dict): raise CliError("Response JSON was not an object.") return parsed -def _post_sse( - url: str, - *, - headers: dict[str, str], - payload: dict[str, Any], - timeout: float, -): - request_headers = dict(headers) - request_headers["Accept"] = "text/event-stream" - request_headers["Content-Type"] = "application/json" +def _post_sse(url: str, *, headers: dict[str, str], payload: dict[str, Any], timeout: float): + request_headers = {**headers, "Accept": "text/event-stream", "Content-Type": "application/json"} req = request.Request( - url, - data=json.dumps(payload).encode("utf-8"), - headers=request_headers, - method="POST", + url, data=json.dumps(payload).encode("utf-8"), headers=request_headers, method="POST" ) try: with request.urlopen(req, timeout=timeout) as response: + decoder = codecs.getincrementaldecoder("utf-8")() pending = "" + block = [] + # read1 avoids waiting for 4096 bytes before yielding a small event. + read = getattr(response, "read1", response.read) while True: - chunk = response.read(4096) + chunk = read(4096) + pending += decoder.decode(chunk, final=not chunk) + while True: + match = re.search(r"[\r\n]", pending) + if match is None: + break + idx = match.start() + if pending[idx:] == "\r" and chunk: + break # CRLF may straddle chunks. + width = 2 if pending[idx : idx + 2] == "\r\n" else 1 + line, pending = pending[:idx], pending[idx + width :] + if line: + block.append(line) + else: + parsed = _parse_sse_block("\n".join(block)) + block = [] + if parsed is not None: + yield parsed if not chunk: - break - pending += chunk.decode("utf-8", errors="replace") - while "\n\n" in pending: - block, pending = pending.split("\n\n", 1) - parsed = _parse_sse_block(block) + if pending: + block.append(pending) + parsed = _parse_sse_block("\n".join(block)) if parsed is not None: yield parsed - parsed = _parse_sse_block(pending) - if parsed is not None: - yield parsed + break except error.HTTPError as exc: raw = exc.read().decode("utf-8", errors="replace") - raise HttpError(exc.code, raw) from exc + raise HttpError( + exc.code, raw, exc.headers.get("Retry-After") if exc.headers else None + ) from exc except error.URLError as exc: - raise TransportError(f"Request failed while reading streamed response: {exc.reason}") from exc - except OSError as exc: + raise TransportError( + f"Request failed while reading streamed response: {exc.reason}" + ) from exc + except (OSError, HTTPException, UnicodeError) as exc: raise TransportError(f"Request failed while reading streamed response: {exc}") from exc -def _parse_sse_block(block: str) -> Optional[Tuple[Optional[str], str]]: +def _parse_sse_block(block: str) -> tuple[str | None, str] | None: event = None - data_lines: List[str] = [] + data_lines: list[str] = [] for raw in block.splitlines(): if raw.startswith("event:"): event = raw.split(":", 1)[1].strip() @@ -426,34 +462,124 @@ def _parse_sse_block(block: str) -> Optional[Tuple[Optional[str], str]]: def _refresh_auth(auth: dict[str, Any], auth_file: Path, *, timeout: float) -> dict[str, Any]: - tokens = auth.get("tokens") - if not isinstance(tokens, dict): - raise CliError("Codex ChatGPT auth not found. Run `codex login` and choose ChatGPT.") - refresh_token = tokens.get("refresh_token") - if not isinstance(refresh_token, str) or not refresh_token: - raise CliError("Codex refresh token not found. Run `codex login` again.") + # A separate lock survives atomic auth.json replacement. Codex itself does not + # share this lock, so also re-read before and after the network request. + with _auth_refresh_lock(auth_file, timeout): + existed = auth_file.exists() + current = _load_auth(auth_file) if existed else auth + if _account_id(current) != _account_id(auth): + raise CliError("Codex account changed during this request. Run the command again.") + if current.get("tokens") != auth.get("tokens") and not _token_is_expiring( + _access_token(current) + ): + return current + updated = copy.deepcopy(current) + tokens = updated.get("tokens") + if not isinstance(tokens, dict): + raise CliError("Codex ChatGPT auth not found. Run `codex login` and choose ChatGPT.") + refresh_token = tokens.get("refresh_token") + if not isinstance(refresh_token, str) or not refresh_token: + raise CliError("Codex refresh token not found. Run `codex login` again.") + payload = { + "client_id": CODEX_CLIENT_ID, + "grant_type": "refresh_token", + "refresh_token": refresh_token, + } + refresh_url = os.environ.get("CODEX_IMAGEGEN_REFRESH_URL", DEFAULT_REFRESH_URL) + try: + refreshed = _post_json(refresh_url, payload=payload, timeout=timeout) + except HttpError as exc: + # OAuth error bodies can contain credentials; never echo them. + raise CliError( + f"Codex token refresh failed (HTTP {exc.status}). Run `codex login` again." + ) from exc + access = refreshed.get("access_token") + if not isinstance(access, str) or not access: + raise CliError( + "Codex token refresh returned no access token; auth file was not changed." + ) + for key in ("access_token", "refresh_token", "id_token"): + value = refreshed.get(key) + if isinstance(value, str) and value: + tokens[key] = value + # Repair a legacy dictionary only when its original JWT is available. + if isinstance(tokens.get("id_token"), dict): + tokens["id_token"] = tokens["id_token"].get("raw_jwt") + if not isinstance(tokens.get("id_token"), str) or not tokens["id_token"]: + raise CliError("Codex ID token is invalid. Run `codex login` again.") + updated["last_refresh"] = datetime.now(timezone.utc).isoformat().replace("+00:00", "Z") + if (existed and not auth_file.exists()) or ( + auth_file.exists() and _load_auth(auth_file) != current + ): + raise CliError( + "Codex auth changed while refreshing; refusing to overwrite it. Run the command again." + ) + _atomic_write(auth_file, (json.dumps(updated, indent=2) + "\n").encode(), replace=True) + return updated - refresh_url = os.environ.get("CODEX_IMAGEGEN_REFRESH_URL", DEFAULT_REFRESH_URL) - payload = { - "client_id": CODEX_CLIENT_ID, - "grant_type": "refresh_token", - "refresh_token": refresh_token, - } - refreshed = _post_json(refresh_url, payload=payload, timeout=timeout) - for key in ("access_token", "refresh_token"): - value = refreshed.get(key) - if isinstance(value, str) and value: - tokens[key] = value - id_token = refreshed.get("id_token") - if isinstance(id_token, str) and id_token: - tokens["id_token"] = _id_token_from_jwt(id_token) - auth["last_refresh"] = datetime.now(timezone.utc).isoformat().replace("+00:00", "Z") + +@contextmanager +def _auth_refresh_lock(auth_file: Path, timeout: float): auth_file.parent.mkdir(parents=True, exist_ok=True) - auth_file.write_text(json.dumps(auth, indent=2) + "\n", encoding="utf-8") - return auth + lock_path = auth_file.with_name(auth_file.name + ".imagegen.lock") + flags = os.O_CREAT | os.O_RDWR | getattr(os, "O_NOFOLLOW", 0) + fd = os.open(lock_path, flags, 0o600) + with os.fdopen(fd, "r+b") as lock: + if os.name == "nt": + import msvcrt + + if lock_path.stat().st_size == 0: + lock.write(b"0") + lock.flush() + else: + import fcntl + deadline = time.monotonic() + min(timeout, 30.0) + while True: + try: + if os.name == "nt": + lock.seek(0) + msvcrt.locking(lock.fileno(), msvcrt.LK_NBLCK, 1) + else: + fcntl.flock(lock.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB) + break + except (BlockingIOError, OSError) as exc: + if time.monotonic() >= deadline: + raise CliError("Timed out waiting for another imagegen auth refresh.") from exc + time.sleep(0.05) + try: + yield + finally: + if os.name == "nt": + lock.seek(0) + msvcrt.locking(lock.fileno(), msvcrt.LK_UNLCK, 1) + else: + fcntl.flock(lock.fileno(), fcntl.LOCK_UN) + + +def _atomic_write(path: Path, data: bytes, *, replace: bool) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + fd, temporary = tempfile.mkstemp(prefix=f".{path.name}.", suffix=".tmp", dir=path.parent) + try: + with os.fdopen(fd, "wb") as output: + output.write(data) + output.flush() + os.fsync(output.fileno()) + if replace: + os.replace(temporary, path) + else: + # Atomic no-clobber publication: an output created during generation + # must not be overwritten, even after the earlier preflight check. + try: + os.link(temporary, path) + except FileExistsError as exc: + raise CliError( + f"Output already exists: {path} (use --force to allow replacement)" + ) from exc + finally: + Path(temporary).unlink(missing_ok=True) -def _load_ready_auth(args: argparse.Namespace) -> Tuple[dict[str, Any], Path]: +def _load_ready_auth(args: argparse.Namespace) -> tuple[dict[str, Any], Path]: auth_file = _auth_file(args) auth = _load_auth(auth_file) if _token_is_expiring(_access_token(auth)): @@ -471,17 +597,20 @@ def _data_url_for_image(path: Path, args: argparse.Namespace) -> str: return f"data:{mime_type};base64,{encoded}" -def _encoded_input_image(path: Path, args: argparse.Namespace) -> Tuple[bytes, str]: +def _encoded_input_image(path: Path, args: argparse.Namespace) -> tuple[bytes, str]: try: - with Image.open(path) as image: - image.load() - image = _resize_input_image(image, args.input_max_edge) + with Image.open(path) as source: + source.load() + image = _resize_input_image(ImageOps.exif_transpose(source), args.input_max_edge) + if image.mode not in {"RGB", "RGBA"}: + image = image.convert( + "RGBA" if "A" in image.getbands() or "transparency" in image.info else "RGB" + ) output = BytesIO() image.save(output, "WEBP", quality=args.input_webp_quality) return output.getvalue(), "image/webp" - except Exception as exc: - _warn(f"could not compact input image {path}; sending original bytes ({exc})") - return path.read_bytes(), mimetypes.guess_type(str(path))[0] or "image/png" + except (OSError, ValueError, Image.DecompressionBombError) as exc: + raise CliError(f"Could not read/compact input image {path}: {exc}") from exc def _resize_input_image(image: Image.Image, max_edge: int) -> Image.Image: @@ -506,14 +635,46 @@ def _default_model(args: argparse.Namespace) -> str: if env_model: return env_model config_file = _codex_config_file(args) + config = {} if config_file.exists(): - match = re.search( - r"""(?m)^model\s*=\s*["']([^"']+)["']""", - config_file.read_text(encoding="utf-8"), - ) - if match: - return match.group(1) - return DEFAULT_CODEX_MODEL + try: + config = tomllib.loads(_read_text(config_file, "Codex config")) + except tomllib.TOMLDecodeError as exc: + raise CliError(f"Invalid Codex config TOML: {config_file} ({exc})") from exc + profile = getattr(args, "profile", None) or config.get("profile") + model = config.get("model", DEFAULT_CODEX_MODEL) + if profile: + profiles = config.get("profiles", {}) + if ( + not isinstance(profile, str) + or not isinstance(profiles, dict) + or profile not in profiles + ): + raise CliError(f"Unknown Codex profile: {profile}") + settings = profiles[profile] + if not isinstance(settings, dict): + raise CliError(f"Invalid Codex profile: {profile}") + model = settings.get("model", model) + if not isinstance(model, str) or not model.strip(): + raise CliError("Codex model must be a non-empty string.") + return model + + +def _native_payload( + *, prompt: str, args: argparse.Namespace, mode: str, images: Sequence[Path] | None = None +) -> dict[str, Any]: + payload = { + "model": NATIVE_REQUEST_MODEL, + "prompt": prompt, + "size": args.size, + "quality": args.quality, + "background": args.background, + } + if mode == "edit": + if not images or len(images) > MAX_EDIT_IMAGES: + raise CliError(f"Edit supports one to {MAX_EDIT_IMAGES} images.") + payload["images"] = [{"image_url": _data_url_for_image(path, args)} for path in images] + return payload def _responses_payload( @@ -521,9 +682,9 @@ def _responses_payload( prompt: str, args: argparse.Namespace, mode: str, - images: Optional[Sequence[Path]] = None, + images: Sequence[Path] | None = None, ) -> dict[str, Any]: - content: List[dict[str, Any]] = [{"type": "input_text", "text": prompt}] + content: list[dict[str, Any]] = [{"type": "input_text", "text": prompt}] if images: if len(images) > MAX_EDIT_IMAGES: raise CliError(f"Edit supports at most {MAX_EDIT_IMAGES} images.") @@ -569,19 +730,42 @@ def _write_response_image( force: bool, output_format: str, webp_quality: int, + requested_size: str = "auto", + size_policy: str = "warn", ) -> Path: _check_output(output_path, force) - output_path.parent.mkdir(parents=True, exist_ok=True) + if len(encoded) > ((MAX_IMAGE_BYTES + 2) // 3) * 4: + raise CliError("Image generation result exceeds the 32 MiB limit.") try: - image_bytes = base64.b64decode(encoded) + image_bytes = base64.b64decode(encoded.strip(), validate=True) except ValueError as exc: raise CliError("Image generation result was not valid base64.") from exc + try: + with Image.open(BytesIO(image_bytes)) as image: + if image.format != "PNG": + raise CliError(f"Expected PNG image data, received {image.format}.") + image.verify() + with Image.open(BytesIO(image_bytes)) as image: + image.load() + actual_size = f"{image.width}x{image.height}" + except (OSError, ValueError, Image.DecompressionBombError) as exc: + raise CliError(f"Image generation returned an invalid image: {exc}") from exc + if requested_size != "auto" and requested_size != actual_size: + message = f"Requested {requested_size}, backend returned {actual_size} for {output_path}." + if size_policy == "error": + raise CliError(message + " Output was not written (--size-policy error).") + _warn( + message + + " Saving the original dimensions; use --size-policy error to reject mismatches." + ) _write_image_bytes( image_bytes, output_path, output_format=output_format, webp_quality=webp_quality, + force=force, ) + _log(f" saved {actual_size} {_resolve_output_format(output_path, output_format).upper()}") return output_path @@ -591,17 +775,17 @@ def _write_image_bytes( *, output_format: str, webp_quality: int, + force: bool = False, ) -> None: - resolved_format = _resolve_output_format(output_path, output_format) - if resolved_format == "png": - output_path.write_bytes(image_bytes) - return - - try: - with Image.open(BytesIO(image_bytes)) as image: - image.save(output_path, "WEBP", quality=webp_quality) - except Exception as exc: - raise CliError(f"Failed to convert image to WebP: {exc}") from exc + if _resolve_output_format(output_path, output_format) == "webp": + try: + with Image.open(BytesIO(image_bytes)) as image: + output = BytesIO() + image.save(output, "WEBP", quality=webp_quality) + image_bytes = output.getvalue() + except (OSError, ValueError) as exc: + raise CliError(f"Failed to convert image to WebP: {exc}") from exc + _atomic_write(output_path, image_bytes, replace=force) def _resolve_output_format(output_path: Path, output_format: str) -> str: @@ -610,7 +794,7 @@ def _resolve_output_format(output_path: Path, output_format: str) -> str: return "webp" if output_path.suffix.lower() == ".webp" else "png" -def _output_paths(output_path: Path, count: int) -> List[Path]: +def _output_paths(output_path: Path, count: int) -> list[Path]: if count <= 1: return [output_path] suffix = output_path.suffix or ".png" @@ -628,10 +812,10 @@ def _redacted_headers(headers: dict[str, str]) -> dict[str, str]: def _dry_run_payload( *, url: str, - headers: Optional[dict[str, str]], + headers: dict[str, str] | None, payload: dict[str, Any], output_path: Path, - output_count: Optional[int] = None, + output_count: int | None = None, ) -> dict[str, Any]: count = output_count if output_count is not None else int(payload.get("n", 1)) return { @@ -667,10 +851,50 @@ def _call_responses_backend( mode: str, prompt: str, output_path: Path, - image_paths: Optional[Sequence[Path]] = None, -) -> List[Path]: - url = _endpoint(args.base_url, "responses") - payload = _responses_payload(prompt=prompt, args=args, mode=mode, images=image_paths) + image_paths: Sequence[Path] | None = None, +) -> list[Path]: + return _call_backend( + args=args, + output_path=output_path, + url=_endpoint(args.base_url, "responses"), + payload=_responses_payload(prompt=prompt, args=args, mode=mode, images=image_paths), + native=False, + ) + + +def _call_native_backend( + *, + args: argparse.Namespace, + mode: str, + prompt: str, + output_path: Path, + image_paths: Sequence[Path] | None = None, +) -> list[Path]: + return _call_backend( + args=args, + output_path=output_path, + url=_endpoint(args.base_url, "images/edits" if mode == "edit" else "images/generations"), + payload=_native_payload(prompt=prompt, args=args, mode=mode, images=image_paths), + native=True, + ) + + +def _native_image_result( + url: str, *, headers: dict[str, str], payload: dict[str, Any], timeout: float +) -> str: + response = _post_json(url, headers=headers, payload=payload, timeout=timeout) + data = response.get("data") + if not isinstance(data, list) or len(data) != 1 or not isinstance(data[0], dict): + raise CliError("Native image response must contain exactly one image in data.") + encoded = data[0].get("b64_json") + if not isinstance(encoded, str) or not encoded: + raise CliError("Native image response contains no base64 image result.") + return encoded + + +def _call_backend( + *, args: argparse.Namespace, output_path: Path, url: str, payload: dict[str, Any], native: bool +) -> list[Path]: output_paths = _output_paths(output_path, args.n) if args.dry_run: print( @@ -686,47 +910,47 @@ def _call_responses_backend( ) ) return output_paths - auth, auth_file = _load_ready_auth(args) headers = _auth_headers(auth) - saved: List[Path] = [] + saved = [] + call = _native_image_result if native else _stream_image_result for idx, path in enumerate(output_paths, start=1): - current_payload = dict(payload) + if _token_is_expiring(_access_token(auth)): + auth = _refresh_auth(auth, auth_file, timeout=args.timeout) + headers = _auth_headers(auth) if args.n > 1: - current_payload["prompt_cache_key"] = f"codex-imagegen-cli-{idx}" _log(f" image {idx}/{args.n} ...") attempt = 0 + refreshed = False while True: try: - encoded = _stream_image_result( - url, - headers=headers, - payload=current_payload, - timeout=args.timeout, - ) + encoded = call(url, headers=headers, payload=payload, timeout=args.timeout) break except HttpError as exc: - if exc.status != 401: + if exc.status == 401 and not refreshed: + auth = _refresh_auth(auth, auth_file, timeout=args.timeout) + headers = _auth_headers(auth) + refreshed = True + continue + retry = _http_retry_decision(exc, attempt) + if retry is None or attempt >= MAX_RESPONSES_IMAGE_RETRIES: + if exc.status == 404 and not native and "model_not_found" in exc.body: + raise CliError( + str(exc) + + " Select an accessible --model with --backend responses, or use --backend native." + ) from exc raise - auth = _refresh_auth(auth, auth_file, timeout=args.timeout) - headers = _auth_headers(auth) - encoded = _stream_image_result( - url, - headers=headers, - payload=current_payload, - timeout=args.timeout, - ) - break except ResponsesImageGenerationError as exc: retry = _responses_image_retry_decision(exc.event, attempt) if retry is None or attempt >= MAX_RESPONSES_IMAGE_RETRIES: raise - attempt += 1 - _warn( - f"{retry.reason}; " - f"retrying in {retry.delay:.1f}s ({attempt}/{MAX_RESPONSES_IMAGE_RETRIES})" - ) - time.sleep(retry.delay) + # Transport failures and ambiguous server errors are deliberately not + # replayed: an image may already have consumed account usage. + attempt += 1 + _warn( + f"{retry.reason}; retrying in {retry.delay:.1f}s ({attempt}/{MAX_RESPONSES_IMAGE_RETRIES})" + ) + time.sleep(retry.delay) saved.append( _write_response_image( encoded, @@ -734,17 +958,65 @@ def _call_responses_backend( force=args.force, output_format=args.output_format, webp_quality=args.webp_quality, + requested_size=args.size, + size_policy=args.size_policy, ) ) + # Publish each successful path immediately, even if a later image fails. + print(str(path), flush=True) return saved -def _responses_image_retry_delay(event: dict[str, Any], attempt: int) -> Optional[float]: +def _http_retry_decision(exc: HttpError, attempt: int) -> RetryDecision | None: + if exc.status != 429: + return None + try: + body = json.loads(exc.body) + except ValueError: + body = {} + error_obj = body.get("error", {}) if isinstance(body, dict) else {} + if isinstance(error_obj, dict) and ( + error_obj.get("code") not in {None, "rate_limit_exceeded"} + or error_obj.get("type") in {"image_generation_user_error", "insufficient_quota"} + ): + return None # Quota/billing/user errors need intervention, not a retry. + decision = _responses_image_retry_decision( + { + "response": { + "error": { + **(error_obj if isinstance(error_obj, dict) else {}), + "code": "rate_limit_exceeded", + } + } + }, + attempt, + ) + if decision is None: + return None + delay = decision.delay + if exc.retry_after: + try: + wait = float(exc.retry_after) + except ValueError: + try: + wait = parsedate_to_datetime(exc.retry_after).timestamp() - time.time() + except (ValueError, TypeError, OverflowError): + wait = 0 + if not math.isfinite(wait): + return None + delay = max(delay, wait) + # Keep server-supplied delays bounded too. + if delay > 300: + return None + return RetryDecision(delay, decision.reason) + + +def _responses_image_retry_delay(event: dict[str, Any], attempt: int) -> float | None: decision = _responses_image_retry_decision(event, attempt) return decision.delay if decision is not None else None -def _responses_image_retry_decision(event: dict[str, Any], attempt: int) -> Optional[RetryDecision]: +def _responses_image_retry_decision(event: dict[str, Any], attempt: int) -> RetryDecision | None: error_obj = _responses_image_error(event) if not isinstance(error_obj, dict) or error_obj.get("code") != "rate_limit_exceeded": return None @@ -752,7 +1024,9 @@ def _responses_image_retry_decision(event: dict[str, Any], attempt: int) -> Opti parsed_delay = None if isinstance(message, str): if "input-images per min" in message and _rate_limit_bucket_exhausted(message): - delay = INPUT_IMAGE_RATE_LIMIT_DELAYS[min(attempt, len(INPUT_IMAGE_RATE_LIMIT_DELAYS) - 1)] + delay = INPUT_IMAGE_RATE_LIMIT_DELAYS[ + min(attempt, len(INPUT_IMAGE_RATE_LIMIT_DELAYS) - 1) + ] return RetryDecision(delay, "input-image quota full") match = re.search(r"try again in\s+(\d+(?:\.\d+)?)\s*(ms|s)", message, re.IGNORECASE) if match: @@ -762,12 +1036,14 @@ def _responses_image_retry_decision(event: dict[str, Any], attempt: int) -> Opti backoff_delay = min(2.0**attempt, 16.0) if parsed_delay is None: return RetryDecision(backoff_delay, "image generation rate-limited") + if not math.isfinite(parsed_delay) or parsed_delay > 300: + return None return RetryDecision(max(parsed_delay, backoff_delay), "image generation rate-limited") -def _responses_image_error(event: dict[str, Any]) -> Optional[dict[str, Any]]: +def _responses_image_error(event: dict[str, Any]) -> dict[str, Any] | None: response = event.get("response") - error_obj = response.get("error") if isinstance(response, dict) else None + error_obj = response.get("error") if isinstance(response, dict) else event.get("error", event) return error_obj if isinstance(error_obj, dict) else None @@ -780,35 +1056,41 @@ def _rate_limit_bucket_exhausted(message: str) -> bool: def _stream_image_result( - url: str, - *, - headers: dict[str, str], - payload: dict[str, Any], - timeout: float, + url: str, *, headers: dict[str, str], payload: dict[str, Any], timeout: float ) -> str: last_status = None - last_error = None - for _event, data in _post_sse(url, headers=headers, payload=payload, timeout=timeout): - if not data: - continue - try: - event = json.loads(data) - except json.JSONDecodeError: - continue - if not isinstance(event, dict): - continue - if event.get("type") in {"response.failed", "response.incomplete"}: - last_error = event - item = event.get("item") - if isinstance(item, dict) and item.get("type") == "image_generation_call": - last_status = item.get("status") - result = item.get("result") - if isinstance(result, str) and result: - return result - if last_error is not None: - raise ResponsesImageGenerationError(last_error) + stream = _post_sse(url, headers=headers, payload=payload, timeout=timeout) + try: + for _event, data in stream: + if not data or data == "[DONE]": + continue + try: + event = json.loads(data) + except json.JSONDecodeError as exc: + raise CliError("Responses stream contained invalid JSON.") from exc + if not isinstance(event, dict): + continue + if event.get("type") in {"response.failed", "response.incomplete", "error"}: + raise ResponsesImageGenerationError(event) + items = [event.get("item")] + if event.get("type") == "response.completed": + response = event.get("response") + if isinstance(response, dict) and isinstance(response.get("output"), list): + items.extend(response["output"]) + for item in items: + if isinstance(item, dict) and item.get("type") == "image_generation_call": + last_status = item.get("status") + result = item.get("result") + if isinstance(result, str) and result and last_status == "completed": + return result + finally: + close = getattr(stream, "close", None) + if close: + close() if last_status: - raise CliError(f"Responses stream ended without an image result; last status was {last_status}.") + raise CliError( + f"Responses stream ended without an image result; last status was {last_status}." + ) raise CliError("Responses stream ended without an image generation result.") @@ -818,9 +1100,10 @@ def _call_image_backend( mode: str, prompt: str, output_path: Path, - image_paths: Optional[Sequence[Path]] = None, -) -> List[Path]: - return _call_responses_backend( + image_paths: Sequence[Path] | None = None, +) -> list[Path]: + backend = _call_native_backend if args.backend == "native" else _call_responses_backend + return backend( args=args, mode=mode, prompt=prompt, @@ -829,18 +1112,13 @@ def _call_image_backend( ) -def _print_saved(paths: Sequence[Path]) -> None: - for path in paths: - print(str(path)) - - def _run_one( *, args: argparse.Namespace, mode: str, prompt: str, output_path: Path, - image_paths: Optional[Sequence[Path]] = None, + image_paths: Sequence[Path] | None = None, log_prefix: str = "", ) -> bool: if not args.dry_run: @@ -853,7 +1131,7 @@ def _run_one( _log(f"{prefix}{mode} {count}{output_path}") t0 = time.monotonic() - paths = _call_image_backend( + _call_image_backend( args=args, mode=mode, prompt=prompt, @@ -864,18 +1142,32 @@ def _run_one( if not args.dry_run: elapsed = time.monotonic() - t0 _log(f" done ({elapsed:.1f}s)") - _print_saved(paths) return True def _add_auth_args(parser: argparse.ArgumentParser) -> None: parser.add_argument("--cd", help="Base directory for resolving relative paths.") - parser.add_argument("--auth-file", help="Path to Codex auth.json. Defaults to $CODEX_HOME/auth.json.") - parser.add_argument("--codex-home", help="Codex home directory. Defaults to $CODEX_HOME or ~/.codex.") + parser.add_argument( + "--auth-file", help="Path to Codex auth.json. Defaults to $CODEX_HOME/auth.json." + ) + parser.add_argument( + "--codex-home", help="Codex home directory. Defaults to $CODEX_HOME or ~/.codex." + ) + parser.add_argument( + "--backend", + choices=["native", "responses"], + default="native", + help="Image backend (default: native). The image model is controlled by the backend.", + ) + parser.add_argument( + "--profile", help="Codex profile for reasoning-model selection (responses backend only)." + ) parser.add_argument( "--model", + "--reasoning-model", help=( - "Codex reasoning model for the direct hosted image tool. Defaults to CODEX_IMAGEGEN_MODEL, " + "Reasoning model for --backend responses only; does not select the image model. " + "Defaults to CODEX_IMAGEGEN_MODEL, " "then Codex config, then the built-in fallback." ), ) @@ -885,7 +1177,9 @@ def _add_auth_args(parser: argparse.ArgumentParser) -> None: help="Codex backend base URL.", ) parser.add_argument("--timeout", type=float, default=300.0, help="HTTP timeout in seconds.") - parser.add_argument("--dry-run", action="store_true", help="Print the request without contacting Codex.") + parser.add_argument( + "--dry-run", action="store_true", help="Print the request without contacting Codex." + ) def _add_image_args(parser: argparse.ArgumentParser) -> None: @@ -903,9 +1197,15 @@ def _add_image_args(parser: argparse.ArgumentParser) -> None: ) parser.add_argument( "--size", - choices=IMAGE_SIZE_CHOICES, + type=_parse_size, default="auto", - help="Direct size parameter. Choices: auto, 1024x1024, 1536x1024, 1024x1536.", + help="Requested image dimensions: auto or WIDTHxHEIGHT. Backend may return a different size.", + ) + parser.add_argument( + "--size-policy", + choices=["warn", "error"], + default="warn", + help="On a dimension mismatch, warn and save (default) or fail without writing.", ) parser.add_argument( "--output-format", @@ -941,7 +1241,38 @@ def _add_prompt_args(parser: argparse.ArgumentParser) -> None: parser.add_argument("--force", action="store_true") +def _parse_size(value: str) -> str: + if value == "auto": + return value + match = re.fullmatch(r"([1-9][0-9]{0,3})x([1-9][0-9]{0,3})", value) + if match: + width, height = map(int, match.groups()) + if ( + width % 16 == height % 16 == 0 + and max(width, height) <= 3840 + and max(width, height) <= 3 * min(width, height) + and 655360 <= width * height <= 8294400 + ): + return value + raise argparse.ArgumentTypeError( + "Size must be auto or WIDTHxHEIGHT: multiples of 16, " + "at most 3840 per edge, 1:3 to 3:1 aspect, 655360–8294400 pixels." + ) + + def _validate_common(args: argparse.Namespace) -> Path: + if not math.isfinite(args.timeout) or args.timeout <= 0: + raise CliError("--timeout must be a positive finite number.") + if args.backend == "native" and (args.model or args.profile): + raise CliError( + "--model/--reasoning-model and --profile require --backend responses. " + "The image model is controlled by the backend." + ) + if args.background == "transparent": + raise CliError( + "Transparent background is not supported by the current Codex image backend. " + "Use --background auto or opaque." + ) if args.n < 1: raise CliError("--n must be at least 1.") if not 1 <= args.webp_quality <= 100: @@ -988,19 +1319,24 @@ def _cmd_batch(args: argparse.Namespace) -> int: out_dir = _resolve_path(args.out_dir, cd) failures = 0 for idx, job in enumerate(jobs, start=1): - prompt = str(job["prompt"]).strip() - raw_out = job.get("out") - if raw_out: - output_path = _resolve_path(str(out_dir / str(raw_out)), cd) - else: - output_path = out_dir / f"{idx:03d}-{_slugify(prompt)}.png" - images = [_resolve_path(raw, cd) for raw in job.get("images", [])] - mode = str(job.get("mode", "edit" if images else "generate")) - if mode not in {"generate", "edit"}: - raise CliError(f"Job {idx} has invalid mode: {mode}") - if mode == "edit" and not images: - raise CliError(f"Job {idx} mode is edit but images is empty.") try: + prompt = job["prompt"] + raw_out = job.get("out") + output_path = ( + _resolve_path(str(out_dir / raw_out), cd) + if raw_out + else out_dir / f"{idx:03d}-{_slugify(prompt)}.png" + ) + if not output_path.is_relative_to(out_dir): + raise CliError(f"Job {idx} output must stay under --out-dir.") + images = [_resolve_path(raw, cd) for raw in job["images"]] + mode = job.get("mode", "edit" if images else "generate") + if mode not in ("generate", "edit"): + raise CliError(f"Job {idx} has invalid mode: {mode}") + if mode == "edit" and not images: + raise CliError(f"Job {idx} mode is edit but images is empty.") + if mode == "generate" and images: + raise CliError(f"Job {idx} has images but mode is generate; use edit.") _run_one( args=args, mode=mode, @@ -1009,7 +1345,7 @@ def _cmd_batch(args: argparse.Namespace) -> int: image_paths=images, log_prefix=f"[{idx}/{len(jobs)}]", ) - except CliError as exc: + except (CliError, OSError, UnicodeError) as exc: failures += 1 _warn(f"[{idx}/{len(jobs)}] failed: {exc}") if args.fail_fast: @@ -1057,13 +1393,15 @@ def build_parser() -> argparse.ArgumentParser: return parser -def main(argv: Optional[Sequence[str]] = None) -> int: +def main(argv: Sequence[str] | None = None) -> int: parser = build_parser() args = parser.parse_args(argv) try: return int(args.func(args)) except CliError as exc: _die(str(exc)) + except (OSError, UnicodeError) as exc: + _die(str(exc)) except KeyboardInterrupt: print("Interrupted.", file=sys.stderr) return 130 diff --git a/pyproject.toml b/pyproject.toml index 6722c20..53433b7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,10 +1,10 @@ [build-system] -requires = ["hatchling>=1.27.0"] +requires = ["hatchling>=1.32.0,<1.33"] build-backend = "hatchling.build" [project] name = "codex-imagegen-cli" -version = "0.1.0" +version = "0.2.0" description = "Scriptable image generation CLI using Codex ChatGPT auth." readme = "README.md" requires-python = ">=3.10" @@ -30,7 +30,8 @@ classifiers = [ "Topic :: Utilities", ] dependencies = [ - "pillow>=11.0", + "pillow>=12.3.0", + "tomli>=2.4.1; python_version < '3.11'", ] [project.urls] @@ -45,10 +46,10 @@ codex-imagegen-cli = "codex_imagegen_cli.cli:main" [dependency-groups] dev = [ - "build>=1.2.2.post1", - "pytest>=8.3", - "ruff>=0.8", - "twine>=6.0", + "build>=1.6.1", + "pytest>=9.1.1", + "ruff>=0.16.7", + "twine>=7.0.0", ] [tool.hatch.build.targets.wheel] @@ -69,7 +70,11 @@ include = [ [tool.pytest.ini_options] testpaths = ["tests"] +markers = ["live: opt-in real Codex image generation (consumes account usage)"] [tool.ruff] line-length = 100 target-version = "py310" + +[tool.ruff.lint] +select = ["E4", "E7", "E9", "F", "I", "UP"] diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..db3bf5e --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,19 @@ +"""Offline tests must not depend on a developer's Codex configuration or auth.""" + +import pytest + + +@pytest.fixture(autouse=True) +def isolated_codex_settings(tmp_path, monkeypatch, request): + if request.node.get_closest_marker("live"): + return + home = tmp_path / "isolated-codex" + monkeypatch.setenv("CODEX_HOME", str(home)) + monkeypatch.setenv("CODEX_IMAGEGEN_CODEX_VERSION", "0.154.0") + for name in [ + "CODEX_IMAGEGEN_MODEL", + "CODEX_IMAGEGEN_BASE_URL", + "CODEX_IMAGEGEN_REFRESH_URL", + "CODEX_INTERNAL_ORIGINATOR_OVERRIDE", + ]: + monkeypatch.delenv(name, raising=False) diff --git a/tests/test_cli.py b/tests/test_cli.py index 3ea3df7..f6032d9 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -7,13 +7,19 @@ import pytest from codex_imagegen_cli import cli -from codex_imagegen_cli.cli import main +from codex_imagegen_cli.cli import main as cli_main + + +def main(argv): + if argv and argv[0] in {"generate", "edit", "batch"}: + argv = [argv[0], "--backend", "responses", *argv[1:]] + return cli_main(argv) -PNG_BYTES = b"\x89PNG\r\n\x1a\n" VALID_PNG_BYTES = base64.b64decode( "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAAAADElEQVR4nGP4z8AAAAMBAQDJ/pLvAAAAAElFTkSuQmCC" ) +PNG_BYTES = VALID_PNG_BYTES def _jwt(payload: dict[str, object]) -> str: @@ -34,7 +40,7 @@ def _auth_file(tmp_path, access_token: str = "token"): "access_token": access_token, "refresh_token": "refresh", "account_id": "acct_123", - "id_token": {"chatgpt_account_is_fedramp": False}, + "id_token": _jwt({"email": "test@example.invalid"}), }, } ), @@ -183,7 +189,10 @@ def test_edit_dry_run_redacts_direct_input_images(tmp_path, capsys): assert code == 0 assert payload["url"] == "https://chatgpt.com/backend-api/codex/responses" - assert payload["payload"]["input"][0]["content"][1]["image_url"] == "data:image/png;base64," + assert ( + payload["payload"]["input"][0]["content"][1]["image_url"] + == "data:image/webp;base64," + ) assert payload["payload"]["tools"][0]["background"] == "auto" @@ -209,7 +218,10 @@ def test_edit_dry_run_compacts_valid_input_image_to_webp(tmp_path, capsys): payload = json.loads(captured.out) assert code == 0 - assert payload["payload"]["input"][0]["content"][1]["image_url"] == "data:image/webp;base64," + assert ( + payload["payload"]["input"][0]["content"][1]["image_url"] + == "data:image/webp;base64," + ) def test_model_default_prefers_env_before_codex_config(tmp_path, monkeypatch, capsys): @@ -417,7 +429,9 @@ def fake_urlopen(req, timeout): with pytest.raises(cli.TransportError) as exc: list(cli._post_sse("https://example.test/responses", headers={}, payload={}, timeout=1)) - assert str(exc.value) == "Request failed while reading streamed response: [Errno 32] Broken pipe" + assert ( + str(exc.value) == "Request failed while reading streamed response: [Errno 32] Broken pipe" + ) def test_stream_transport_error_is_user_facing(tmp_path, monkeypatch, capsys): @@ -425,7 +439,9 @@ def test_stream_transport_error_is_user_facing(tmp_path, monkeypatch, capsys): output = tmp_path / "mug.png" def fake_post_sse(url, *, headers, payload, timeout): - raise cli.TransportError("Request failed while reading streamed response: [Errno 32] Broken pipe") + raise cli.TransportError( + "Request failed while reading streamed response: [Errno 32] Broken pipe" + ) yield monkeypatch.setattr(cli, "_post_sse", fake_post_sse) @@ -445,7 +461,10 @@ def fake_post_sse(url, *, headers, payload, timeout): captured = capsys.readouterr() assert exc.value.code == 1 - assert "Error: Request failed while reading streamed response: [Errno 32] Broken pipe" in captured.err + assert ( + "Error: Request failed while reading streamed response: [Errno 32] Broken pipe" + in captured.err + ) def test_edit_encodes_input_image(tmp_path, monkeypatch): @@ -480,7 +499,9 @@ def fake_post_sse(url, *, headers, payload, timeout): assert code == 0 assert seen["url"].endswith("/responses") - assert seen["payload"]["input"][0]["content"][1]["image_url"].startswith("data:image/png;base64,") + assert seen["payload"]["input"][0]["content"][1]["image_url"].startswith( + "data:image/webp;base64," + ) assert seen["payload"]["tools"][0]["type"] == "image_generation" assert output.read_bytes() == PNG_BYTES @@ -662,7 +683,10 @@ def test_batch_accepts_jsonl_string_jobs(tmp_path, capsys): payload = json.loads(captured.out) assert code == 0 - assert payload["payload"]["input"][0]["content"][0]["text"] == "A compact shuttle parked in a hangar" + assert ( + payload["payload"]["input"][0]["content"][0]["text"] + == "A compact shuttle parked in a hangar" + ) assert payload["outputs"][0].endswith("001-a-compact-shuttle-parked-in-a-hangar.png") @@ -676,7 +700,7 @@ def test_size_rejects_unknown_value(tmp_path): "--out", str(tmp_path / "mug.png"), "--size", - "2048x2048", + "1023x1024", "--dry-run", ] ) diff --git a/tests/test_controls.py b/tests/test_controls.py new file mode 100644 index 0000000..7181110 --- /dev/null +++ b/tests/test_controls.py @@ -0,0 +1,112 @@ +"""Positive controls for the focused audit; all transport/auth data is synthetic.""" + +import json +from io import BytesIO + +import pytest +from PIL import Image +from test_regressions import args_for, fake_auth, image_result + +from codex_imagegen_cli import cli + + +def test_real_sse_reader_handles_lf_delimited_events(monkeypatch): + encoded = image_result() + event = { + "type": "response.output_item.done", + "item": { + "type": "image_generation_call", + "status": "completed", + "result": encoded, + }, + } + data = ( + "data: " + + json.dumps({"type": "response.created"}) + + "\n\n" + + "data: " + + json.dumps(event) + + "\n\n" + ).encode() + monkeypatch.setattr(cli.request, "urlopen", lambda *a, **kw: BytesIO(data)) + assert ( + cli._stream_image_result("https://example.invalid", headers={}, payload={}, timeout=1) + == encoded + ) + + +def test_multiple_outputs_are_valid_numbered_images(tmp_path, monkeypatch): + calls = [] + + def stream(*a, **kw): + calls.append(kw["payload"]) + return image_result() + + monkeypatch.setattr(cli, "_stream_image_result", stream) + monkeypatch.setattr(cli, "_load_ready_auth", lambda a: (fake_auth(), tmp_path / "auth.json")) + monkeypatch.setattr(cli, "_auth_headers", lambda a: {}) + args = args_for(tmp_path) + args.n = 2 + out = cli._call_responses_backend( + args=args, mode="generate", prompt="test", output_path=tmp_path / "out.png" + ) + assert [p.name for p in out] == ["out-1.png", "out-2.png"] + assert len(calls) == 2 + for p in out: + with Image.open(p) as image: + image.verify() + + +def test_existing_output_is_protected_before_backend_call(tmp_path, monkeypatch): + out = tmp_path / "out.png" + out.write_bytes(b"existing file") + + def forbidden(**kw): + pytest.fail("backend must not run") + + monkeypatch.setattr(cli, "_call_image_backend", forbidden) + with pytest.raises(cli.CliError, match="already exists"): + cli._run_one(args=args_for(tmp_path), mode="generate", prompt="test", output_path=out) + assert out.read_bytes() == b"existing file" + + +@pytest.mark.parametrize("fail_fast", [False, True]) +def test_batch_handles_backend_job_failures(tmp_path, monkeypatch, fail_fast): + jobs = tmp_path / "jobs.jsonl" + jobs.write_text('"bad"\n"good"\n') + calls = [] + + def run(**kw): + calls.append(kw["prompt"]) + if kw["prompt"] == "bad": + raise cli.CliError("simulated backend failure") + return True + + monkeypatch.setattr(cli, "_run_one", run) + argv = ["batch", "--input", str(jobs), "--out-dir", str(tmp_path)] + if fail_fast: + argv.append("--fail-fast") + assert cli.main(argv) == 1 + assert calls == (["bad"] if fail_fast else ["bad", "good"]) + + +def test_dry_run_never_reads_auth(tmp_path, monkeypatch): + def forbidden(*a, **kw): + pytest.fail("auth must not be read") + + monkeypatch.setattr(cli, "_load_ready_auth", forbidden) + assert ( + cli.main( + [ + "generate", + "--prompt", + "test", + "--out", + str(tmp_path / "out.png"), + "--dry-run", + "--auth-file", + "/nonexistent/auth.json", + ] + ) + == 0 + ) diff --git a/tests/test_live.py b/tests/test_live.py new file mode 100644 index 0000000..6c5cbc1 --- /dev/null +++ b/tests/test_live.py @@ -0,0 +1,107 @@ +"""Opt-in compatibility checks: three image requests using existing ChatGPT auth. + +CODEX_IMAGEGEN_LIVE_TEST=1 uv run pytest -m live -v +Never refreshes or writes the user's credentials. No servers or subprocess agents. +""" + +import os + +import pytest +from PIL import Image + +from codex_imagegen_cli import cli + +pytestmark = [ + pytest.mark.live, + pytest.mark.skipif( + os.environ.get("CODEX_IMAGEGEN_LIVE_TEST") != "1", + reason="live account usage is opt-in", + ), +] + + +@pytest.fixture +def live_options(monkeypatch): + def refuse_refresh(*args, **kwargs): + raise cli.CliError( + "Live compatibility check will not refresh shared credentials; log in with Codex and retry." + ) + + monkeypatch.setattr(cli, "_refresh_auth", refuse_refresh) + monkeypatch.setattr(cli, "MAX_RESPONSES_IMAGE_RETRIES", 0) + monkeypatch.delenv("CODEX_IMAGEGEN_BASE_URL", raising=False) + args = cli.build_parser().parse_args(["generate", "--prompt", "test", "--out", "unused.png"]) + auth = cli._load_auth(cli._auth_file(args)) + assert not cli._token_is_expiring(cli._access_token(auth)), ( + "Use Codex to refresh your login first" + ) + return ["--quality", "low", "--timeout", "120", "--size", "1024x1024"] + + +def test_live_native_generate_and_edit(tmp_path, monkeypatch, capsys, live_options): + source = tmp_path / "native.png" + assert ( + cli.main( + [ + "generate", + "--prompt", + "A solid blue circle on a plain white background. No text.", + "--out", + str(source), + *live_options, + ] + ) + == 0 + ) + with Image.open(source) as image: + image.load() + assert image.format == "PNG" + assert min(image.size) >= 256 + actual_size = image.size + output = capsys.readouterr() + assert output.out.splitlines() == [str(source)] + if actual_size != (1024, 1024): + assert "backend returned" in output.err + edited = tmp_path / "native-edit.webp" + assert ( + cli.main( + [ + "edit", + "--image", + str(source), + "--prompt", + "Change the blue circle to red. Preserve the composition and white background.", + "--out", + str(edited), + *live_options, + ] + ) + == 0 + ) + with Image.open(edited) as image: + image.load() + assert image.format == "WEBP" + assert min(image.size) >= 256 + + +def test_live_responses_compatibility(tmp_path, live_options): + out = tmp_path / "responses.png" + assert ( + cli.main( + [ + "generate", + "--backend", + "responses", + "--prompt", + "A solid green triangle on a plain white background. No text.", + "--out", + str(out), + *live_options, + ] + ) + == 0 + ) + with Image.open(out) as image: + image.load() + assert image.format == "PNG" + assert min(image.size) >= 256 diff --git a/tests/test_maintenance.py b/tests/test_maintenance.py new file mode 100644 index 0000000..22f51fd --- /dev/null +++ b/tests/test_maintenance.py @@ -0,0 +1,503 @@ +"""Backend, credential persistence, output and transport integration regressions.""" + +import base64 +import copy +import json +import os +import shutil +import subprocess +import threading +from concurrent.futures import ThreadPoolExecutor +from email.utils import formatdate +from http.client import IncompleteRead +from io import BytesIO + +import pytest +from PIL import Image +from test_regressions import args_for, fake_auth, image_result, jwt + +from codex_imagegen_cli import cli + + +def install_fake_auth(tmp_path, monkeypatch): + auth = fake_auth() + path = tmp_path / "auth.json" + path.write_text(json.dumps(auth)) + monkeypatch.setattr(cli, "_load_ready_auth", lambda a: (auth, path)) + monkeypatch.setattr(cli, "_auth_headers", lambda a: {"Authorization": "Bearer fake-access"}) + return auth, path + + +def test_native_is_default_and_does_not_read_reasoning_config(tmp_path, monkeypatch, capsys): + monkeypatch.setenv("CODEX_IMAGEGEN_IMAGE_MODEL", "nonexistent-legacy-override") + (tmp_path / "config.toml").write_text("not valid toml") + assert ( + cli.main( + [ + "generate", + "--prompt", + "native", + "--out", + str(tmp_path / "a.png"), + "--codex-home", + str(tmp_path), + "--dry-run", + ] + ) + == 0 + ) + request = json.loads(capsys.readouterr().out) + assert request["url"].endswith("/images/generations") + assert request["payload"] == { + "model": "gpt-image-2", + "prompt": "native", + "quality": "auto", + "size": "auto", + "background": "auto", + } + + +def test_native_edit_and_style_reference_encode_ordered_images(tmp_path, monkeypatch, capsys): + install_fake_auth(tmp_path, monkeypatch) + source = tmp_path / "content.png" + style = tmp_path / "style.png" + Image.new("RGB", (4, 4), "red").save(source) + Image.new("RGB", (4, 4), "blue").save(style) + calls = [] + + def post(url, **kw): + calls.append((url, kw)) + return {"data": [{"b64_json": image_result()}]} + + monkeypatch.setattr(cli, "_post_json", post) + out = tmp_path / "edit.webp" + assert ( + cli.main(["edit", "--image", str(source), "--style-image", str(style), "--out", str(out)]) + == 0 + ) + assert calls[0][0].endswith("/images/edits") + payload = calls[0][1]["payload"] + assert "final input image only as a style reference" in payload["prompt"] + for ref, color in zip(payload["images"], [0, 2], strict=True): + with Image.open(BytesIO(base64.b64decode(ref["image_url"].split(",")[1]))) as image: + assert image.getpixel((0, 0))[color] > 240 + with Image.open(out) as image: + assert image.format == "WEBP" + image.verify() + assert capsys.readouterr().out.splitlines() == [str(out)] + + +@pytest.mark.parametrize( + "body", + [ + {}, + {"data": []}, + {"data": [{"b64_json": None}]}, + {"data": [{"b64_json": "a"}, {"b64_json": "b"}]}, + ], +) +def test_native_rejects_malformed_response(body, monkeypatch): + monkeypatch.setattr(cli, "_post_json", lambda *a, **kw: body) + with pytest.raises(cli.CliError): + cli._native_image_result("https://example.invalid", headers={}, payload={}, timeout=1) + + +def test_native_multiple_outputs_preserves_progress_on_failure(tmp_path, monkeypatch, capsys): + install_fake_auth(tmp_path, monkeypatch) + calls = [] + + def post(*a, **kw): + calls.append(kw["payload"]) + if len(calls) == 2: + raise cli.TransportError("interrupted") + return {"data": [{"b64_json": image_result()}]} + + monkeypatch.setattr(cli, "_post_json", post) + with pytest.raises(SystemExit): + cli.main(["generate", "--prompt", "test", "--n", "2", "--out", str(tmp_path / "out.png")]) + assert capsys.readouterr().out.splitlines() == [str(tmp_path / "out-1.png")] + assert (tmp_path / "out-1.png").exists() + assert not (tmp_path / "out-2.png").exists() + assert len(calls) == 2 + + +@pytest.mark.parametrize("policy", ["warn", "error"]) +def test_size_mismatch_policy_preserves_existing_output(tmp_path, capsys, policy): + out = tmp_path / "out.png" + out.write_bytes(b"old") + kw = dict( + force=True, + output_format="png", + webp_quality=85, + requested_size="1024x1024", + size_policy=policy, + ) + if policy == "error": + with pytest.raises(cli.CliError, match="backend returned 2x2"): + cli._write_response_image(image_result(), out, **kw) + assert out.read_bytes() == b"old" + else: + cli._write_response_image(image_result(), out, **kw) + assert "backend returned 2x2" in capsys.readouterr().err + with Image.open(out) as image: + assert image.size == (2, 2) + + +def test_matching_size_and_auto_do_not_warn(tmp_path, capsys): + for size in ["auto", "2x2"]: + cli._write_response_image( + image_result(), + tmp_path / f"{size}.png", + force=False, + output_format="png", + webp_quality=85, + requested_size=size, + size_policy="error", + ) + assert "Warning" not in capsys.readouterr().err + + +@pytest.mark.parametrize("data", [b"not an image", b"\x89PNG\r\n\x1a\n"]) +def test_invalid_image_preserves_existing_output(tmp_path, data): + out = tmp_path / "out.png" + out.write_bytes(b"old") + with pytest.raises(cli.CliError, match="invalid image"): + cli._write_response_image( + base64.b64encode(data).decode(), out, force=True, output_format="png", webp_quality=85 + ) + assert out.read_bytes() == b"old" + + +def test_atomic_write_failure_preserves_original_and_cleans_temp(tmp_path, monkeypatch): + out = tmp_path / "auth.json" + out.write_bytes(b"original") + + def fail(*a): + raise OSError("simulated disk failure") + + monkeypatch.setattr(cli.os, "replace", fail) + with pytest.raises(OSError): + cli._atomic_write(out, b"new", replace=True) + assert out.read_bytes() == b"original" + assert sorted(p.name for p in tmp_path.iterdir()) == ["auth.json"] + + +def test_output_created_during_generation_is_not_overwritten(tmp_path, monkeypatch): + out = tmp_path / "image.png" + link = cli.os.link + + def race(source, target): + out.write_bytes(b"another process") + return link(source, target) + + monkeypatch.setattr(cli.os, "link", race) + with pytest.raises(cli.CliError, match="already exists"): + cli._write_response_image( + image_result(), out, force=False, output_format="png", webp_quality=85 + ) + assert out.read_bytes() == b"another process" + assert list(tmp_path.iterdir()) == [out] + + +def test_refresh_keeps_raw_jwt_permissions_and_unknown_fields(tmp_path, monkeypatch): + auth = fake_auth() + auth["extra"] = {"preserve": True} + original = copy.deepcopy(auth) + path = tmp_path / "auth.json" + path.write_text(json.dumps(auth)) + new_id = jwt({"email": "test@example.invalid"}) + monkeypatch.setattr( + cli, + "_post_json", + lambda *a, **kw: { + "access_token": "new-access", + "refresh_token": "new-refresh", + "id_token": new_id, + }, + ) + updated = cli._refresh_auth(auth, path, timeout=1) + assert auth == original + assert updated == json.loads(path.read_text()) + assert updated["tokens"]["id_token"] == new_id + assert updated["extra"] == auth["extra"] + if os.name != "nt": + assert path.stat().st_mode & 0o777 == 0o600 + + +def test_refreshed_auth_is_readable_by_installed_codex(tmp_path, monkeypatch): + codex = shutil.which("codex") + if not codex: + pytest.skip("Codex binary not installed; JWT schema is covered separately") + auth = fake_auth() + path = tmp_path / "auth.json" + path.write_text(json.dumps(auth)) + monkeypatch.setattr( + cli, + "_post_json", + lambda *a, **kw: { + "access_token": "new-access", + "id_token": jwt({"email": "test@example.invalid"}), + }, + ) + cli._refresh_auth(auth, path, timeout=1) + env = { + k: v + for k, v in os.environ.items() + if not any(fragment in k for fragment in ("TOKEN", "API_KEY", "AUTH", "BEDROCK", "AWS")) + } + env["CODEX_HOME"] = str(tmp_path) + result = subprocess.run( + [codex, "login", "status"], env=env, capture_output=True, text=True, timeout=15 + ) + assert result.returncode == 0, result.stderr + assert "ChatGPT" in result.stderr + result.stdout + + +def test_concurrent_refreshes_reuse_new_token(tmp_path, monkeypatch): + auth = fake_auth() + path = tmp_path / "auth.json" + path.write_text(json.dumps(auth)) + entered = threading.Event() + release = threading.Event() + calls = [] + + def post(*a, **kw): + calls.append(1) + entered.set() + assert release.wait(2) + return {"access_token": "new-access", "refresh_token": "new-refresh"} + + monkeypatch.setattr(cli, "_post_json", post) + with ThreadPoolExecutor(max_workers=2) as pool: + first = pool.submit(cli._refresh_auth, auth, path, timeout=2) + try: + assert entered.wait(2) + second = pool.submit(cli._refresh_auth, auth, path, timeout=2) + finally: + release.set() + assert first.result(timeout=3)["tokens"]["access_token"] == "new-access" + assert second.result(timeout=3)["tokens"]["access_token"] == "new-access" + assert len(calls) == 1 + + +@pytest.mark.parametrize("change", ["replace", "delete"]) +def test_refresh_does_not_overwrite_external_auth_change(tmp_path, monkeypatch, change): + auth = fake_auth() + path = tmp_path / "auth.json" + path.write_text(json.dumps(auth)) + other = copy.deepcopy(auth) + other["tokens"]["access_token"] = "external-change" + + def post(*a, **kw): + if change == "replace": + path.write_text(json.dumps(other)) + else: + path.unlink() + return {"access_token": "imagegen-refresh"} + + monkeypatch.setattr(cli, "_post_json", post) + with pytest.raises(cli.CliError, match="auth changed"): + cli._refresh_auth(auth, path, timeout=1) + assert (json.loads(path.read_text()) == other) if change == "replace" else not path.exists() + + +def test_refresh_error_never_echoes_oauth_body(tmp_path, monkeypatch): + def fail(*a, **kw): + raise cli.HttpError(400, "fake-access fake-refresh") + + monkeypatch.setattr(cli, "_post_json", fail) + with pytest.raises(cli.CliError) as error: + cli._refresh_auth(fake_auth(), tmp_path / "auth.json", timeout=1) + assert "fake-access" not in str(error.value) + assert "fake-refresh" not in str(error.value) + + +def test_refresh_without_access_token_leaves_auth_unchanged(tmp_path, monkeypatch): + auth = fake_auth() + path = tmp_path / "auth.json" + path.write_text(json.dumps(auth)) + monkeypatch.setattr(cli, "_post_json", lambda *a, **kw: {"refresh_token": "new"}) + with pytest.raises(cli.CliError, match="no access token"): + cli._refresh_auth(auth, path, timeout=1) + assert json.loads(path.read_text()) == auth + + +def test_config_profile_precedence(tmp_path, monkeypatch): + monkeypatch.delenv("CODEX_IMAGEGEN_MODEL", raising=False) + (tmp_path / "config.toml").write_text( + 'model = "top"\nprofile = "active"\n' + '[profiles.inactive]\nmodel = "wrong"\n[profiles.active]\nmodel = "active-model"\n' + ) + args = args_for(tmp_path) + args.codex_home = str(tmp_path) + args.model = None + assert cli._default_model(args) == "active-model" + args.profile = "inactive" + assert cli._default_model(args) == "wrong" + monkeypatch.setenv("CODEX_IMAGEGEN_MODEL", "environment") + assert cli._default_model(args) == "environment" + args.model = "explicit" + assert cli._default_model(args) == "explicit" + + +@pytest.mark.parametrize("size", ["2048x2048", "1536x864", "3840x2160", "auto"]) +def test_supported_custom_sizes(size): + assert cli._parse_size(size) == size + + +@pytest.mark.parametrize( + "size", ["1x1", "0x0", "1023x1024", "4096x4096", "3840x3840", "3840x512", "nan"] +) +def test_invalid_sizes(size): + with pytest.raises(cli.argparse.ArgumentTypeError): + cli._parse_size(size) + + +@pytest.mark.parametrize("timeout", [0, -1, float("nan"), float("inf")]) +def test_invalid_timeout(timeout, tmp_path): + args = args_for(tmp_path) + args.timeout = timeout + with pytest.raises(cli.CliError, match="positive finite"): + cli._validate_common(args) + + +@pytest.mark.parametrize("backend", ["native", "responses"]) +def test_removed_image_model_flag_fails_before_auth(backend, tmp_path, monkeypatch, capsys): + monkeypatch.setattr(cli, "_load_ready_auth", lambda *a: pytest.fail("unexpected auth read")) + with pytest.raises(SystemExit) as error: + cli.main( + [ + "generate", + "--prompt", + "test", + "--out", + str(tmp_path / "out.png"), + "--backend", + backend, + "--image-model", + "gpt-image-2.5-sunburst", + ] + ) + assert error.value.code == 2 + assert "unrecognized arguments: --image-model" in capsys.readouterr().err + + +def test_native_transparency_and_wrong_model_flags_fail_before_auth(tmp_path, monkeypatch): + monkeypatch.setattr(cli, "_load_ready_auth", lambda *a: pytest.fail("unexpected auth read")) + for extra in [["--background", "transparent"], ["--model", "gpt-5.5"]]: + with pytest.raises(SystemExit): + cli.main(["generate", "--prompt", "test", "--out", str(tmp_path / "out.png"), *extra]) + + +def test_sse_crlf_and_utf8_split_across_chunks(monkeypatch): + text = 'event: response.output_text.delta\r\ndata: {"delta":"café"}\r\n\r\n' + + class Chunks(BytesIO): + def read1(self, n): + return self.read(1) + + monkeypatch.setattr(cli.request, "urlopen", lambda *a, **kw: Chunks(text.encode())) + events = list(cli._post_sse("https://example.invalid", headers={}, payload={}, timeout=1)) + assert events == [("response.output_text.delta", '{"delta":"café"}')] + + +def test_stream_closes_on_completed_image(monkeypatch): + closed = [] + + def events(*a, **kw): + try: + yield ( + None, + json.dumps( + { + "type": "response.output_item.done", + "item": { + "type": "image_generation_call", + "status": "completed", + "result": image_result(), + }, + } + ), + ) + pytest.fail("should return after complete image") + finally: + closed.append(True) + + monkeypatch.setattr(cli, "_post_sse", events) + cli._stream_image_result("https://example.invalid", headers={}, payload={}, timeout=1) + assert closed == [True] + + +def test_json_incomplete_read_is_transport_error(monkeypatch): + class Broken(BytesIO): + def read(self, *a): + raise IncompleteRead(b"partial", 10) + + monkeypatch.setattr(cli.request, "urlopen", lambda *a, **kw: Broken()) + with pytest.raises(cli.TransportError): + cli._post_json("https://example.invalid", payload={}, timeout=1) + + +@pytest.mark.parametrize( + "header,delay", [("3", 3), ("0", 1), ("invalid", 1), ("301", None), ("inf", None)] +) +def test_retry_after_bounded(header, delay): + result = cli._http_retry_decision(cli.HttpError(429, "rate limited", header), 0) + assert (result.delay if result else None) == delay + + +def test_retry_after_http_date(monkeypatch): + monkeypatch.setattr(cli.time, "time", lambda: 1000000) + result = cli._http_retry_decision( + cli.HttpError(429, "rate limited", formatdate(1000020, usegmt=True)), 0 + ) + assert result.delay == 20 + + +def test_server_message_delay_is_bounded(): + body = json.dumps( + {"error": {"code": "rate_limit_exceeded", "message": "Please try again in 9999s."}} + ) + assert cli._http_retry_decision(cli.HttpError(429, body), 0) is None + + +@pytest.mark.parametrize( + "code", ["insufficient_quota", "billing_hard_limit_reached", "moderation_blocked"] +) +def test_quota_errors_are_not_retried(code): + assert ( + cli._http_retry_decision(cli.HttpError(429, json.dumps({"error": {"code": code}})), 0) + is None + ) + + +def test_native_401_then_429_uses_common_retry_loop(tmp_path, monkeypatch): + install_fake_auth(tmp_path, monkeypatch) + responses = [ + cli.HttpError(401, "expired"), + cli.HttpError(429, "rate limited", "2"), + {"data": [{"b64_json": image_result()}]}, + ] + + def post(*a, **kw): + value = responses.pop(0) + if isinstance(value, Exception): + raise value + return value + + monkeypatch.setattr(cli, "_post_json", post) + monkeypatch.setattr(cli, "_refresh_auth", lambda *a, **kw: fake_auth()) + sleeps = [] + monkeypatch.setattr(cli.time, "sleep", sleeps.append) + assert cli.main(["generate", "--prompt", "test", "--out", str(tmp_path / "out.png")]) == 0 + assert not responses + assert sleeps == [2] + + +def test_batch_rejects_output_escape_and_continues(tmp_path, monkeypatch): + jobs = tmp_path / "jobs.jsonl" + jobs.write_text('{"prompt":"bad","out":"../outside.png"}\n{"prompt":"good"}\n') + calls = [] + monkeypatch.setattr(cli, "_run_one", lambda **kw: calls.append(kw["prompt"])) + assert cli.main(["batch", "--input", str(jobs), "--out-dir", str(tmp_path / "out")]) == 1 + assert calls == ["good"] diff --git a/tests/test_regressions.py b/tests/test_regressions.py new file mode 100644 index 0000000..7c33ebf --- /dev/null +++ b/tests/test_regressions.py @@ -0,0 +1,218 @@ +"""Regression coverage from the September 2026 audit; no live credentials/network.""" + +import base64 +import json +from contextlib import contextmanager +from http.client import IncompleteRead +from io import BytesIO + +import pytest +from PIL import Image + +from codex_imagegen_cli import cli + + +def jwt(payload): + encoded = base64.urlsafe_b64encode(json.dumps(payload).encode()).decode().rstrip("=") + return f"e30.{encoded}.signature" + + +def fake_auth(): + return { + "auth_mode": "chatgpt", + "tokens": { + "id_token": jwt({"email": "test@example.invalid"}), + "access_token": "fake-access", + "refresh_token": "fake-refresh", + "account_id": "fake-account", + }, + } + + +def image_result(): + out = BytesIO() + Image.new("RGB", (2, 2), "blue").save(out, "PNG") + return base64.b64encode(out.getvalue()).decode() + + +def args_for(tmp_path): + return cli.build_parser().parse_args( + [ + "generate", + "--backend", + "responses", + "--prompt", + "test", + "--out", + str(tmp_path / "out.png"), + "--model", + "test-model", + ] + ) + + +def test_refresh_preserves_id_token_as_jwt_string(tmp_path, monkeypatch): + new_id = jwt({"email": "test@example.invalid"}) + monkeypatch.setattr( + cli, + "_post_json", + lambda *a, **kw: { + "id_token": new_id, + "access_token": "new-access", + "refresh_token": "new-refresh", + }, + ) + path = tmp_path / "auth.json" + cli._refresh_auth(fake_auth(), path, timeout=1) + assert json.loads(path.read_text())["tokens"]["id_token"] == new_id + + +def test_stream_accepts_crlf_event_separators(monkeypatch): + events = [ + {"type": "response.created"}, + { + "type": "response.output_item.done", + "item": { + "type": "image_generation_call", + "status": "completed", + "result": image_result(), + }, + }, + ] + body = "".join("data: " + json.dumps(e) + "\r\n\r\n" for e in events).encode() + monkeypatch.setattr(cli.request, "urlopen", lambda *a, **kw: BytesIO(body)) + assert cli._stream_image_result("https://example.invalid", headers={}, payload={}, timeout=1) + + +def test_stream_accepts_result_in_completed_response(monkeypatch): + encoded = image_result() + event = { + "type": "response.completed", + "response": { + "status": "completed", + "output": [ + { + "type": "image_generation_call", + "status": "completed", + "result": encoded, + } + ], + }, + } + monkeypatch.setattr(cli, "_post_sse", lambda *a, **kw: iter([(None, json.dumps(event))])) + assert ( + cli._stream_image_result("https://example.invalid", headers={}, payload={}, timeout=1) + == encoded + ) + + +def test_truncated_http_response_has_cli_transport_error(monkeypatch): + @contextmanager + def broken(*a, **kw): + raise IncompleteRead(b"partial", 100) + yield + + monkeypatch.setattr(cli.request, "urlopen", broken) + with pytest.raises(cli.TransportError): + list(cli._post_sse("https://example.invalid", headers={}, payload={}, timeout=1)) + + +@pytest.mark.parametrize("first_unauthorized", [False, True]) +def test_rate_limit_retry_also_works_after_http_errors(tmp_path, monkeypatch, first_unauthorized): + sequence = ([cli.HttpError(401, "expired")] if first_unauthorized else []) + [ + cli.ResponsesImageGenerationError( + { + "response": { + "error": { + "code": "rate_limit_exceeded", + "message": "Please try again in 1ms.", + } + } + } + ) + if first_unauthorized + else cli.HttpError(429, "rate limited"), + image_result(), + ] + + def stream(*a, **kw): + result = sequence.pop(0) + if isinstance(result, Exception): + raise result + return result + + monkeypatch.setattr(cli, "_stream_image_result", stream) + monkeypatch.setattr(cli, "_load_ready_auth", lambda a: (fake_auth(), tmp_path / "auth.json")) + monkeypatch.setattr(cli, "_refresh_auth", lambda *a, **kw: fake_auth()) + monkeypatch.setattr(cli, "_auth_headers", lambda a: {}) + monkeypatch.setattr(cli.time, "sleep", lambda s: None) + args = args_for(tmp_path) + assert cli._call_responses_backend( + args=args, mode="generate", prompt="test", output_path=tmp_path / "out.png" + ) + assert not sequence + + +def test_batch_null_images_behaves_as_empty_list(tmp_path, monkeypatch): + jobs = tmp_path / "jobs.jsonl" + jobs.write_text('{"prompt":"test", "images":null}\n') + monkeypatch.setattr(cli, "_run_one", lambda **kw: True) + assert cli.main(["batch", "--input", str(jobs), "--out-dir", str(tmp_path)]) == 0 + + +def test_batch_rejects_nontext_prompt(tmp_path): + jobs = tmp_path / "jobs.jsonl" + jobs.write_text('{"prompt":null}\n') + with pytest.raises(cli.CliError): + cli._load_jobs_jsonl(str(jobs), tmp_path) + + +def test_batch_invalid_job_does_not_abort_remaining_jobs(tmp_path, monkeypatch): + jobs = tmp_path / "jobs.jsonl" + jobs.write_text('{"prompt":"bad", "mode":"invalid"}\n{"prompt":"good"}\n') + visited = [] + monkeypatch.setattr(cli, "_run_one", lambda **kw: visited.append(kw["prompt"])) + try: + cli.main(["batch", "--input", str(jobs), "--out-dir", str(tmp_path)]) + except SystemExit: + pass + assert visited == ["good"] + + +def test_config_does_not_use_model_from_inactive_profile(tmp_path, monkeypatch): + (tmp_path / "config.toml").write_text('[profiles.inactive]\nmodel = "unavailable-model"\n') + args = args_for(tmp_path) + args.model = None + args.codex_home = str(tmp_path) + monkeypatch.delenv("CODEX_IMAGEGEN_MODEL", raising=False) + assert cli._default_model(args) == cli.DEFAULT_CODEX_MODEL + + +def test_compaction_applies_exif_orientation(tmp_path): + source = tmp_path / "portrait.jpg" + image = Image.new("RGB", (40, 20), "blue") + exif = Image.Exif() + exif[274] = 6 + image.save(source, exif=exif) + encoded, _ = cli._encoded_input_image(source, args_for(tmp_path)) + with Image.open(BytesIO(encoded)) as output: + assert output.size == (20, 40) + + +def test_corrupt_base64_does_not_create_successful_output(tmp_path): + out = tmp_path / "out.png" + with pytest.raises(cli.CliError): + cli._write_response_image("!!!!", out, force=False, output_format="png", webp_quality=85) + assert not out.exists() + + +def test_timeout_must_be_positive(tmp_path): + args = args_for(tmp_path) + args.timeout = -1 + with pytest.raises(cli.CliError): + cli._validate_common(args) + + +def test_prompt_directory_is_a_user_facing_error(tmp_path): + with pytest.raises(cli.CliError): + cli._read_prompt(None, str(tmp_path), tmp_path) diff --git 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