Nicholas Riegel
0fc4febabf
Restructure project files to follow the addon layout: - Move models to addons/itsulu_blog_publisher/models/ - Move services (LLM providers, routers) to addons/itsulu_blog_publisher/services/ - Move wizards to addons/itsulu_blog_publisher/wizards/ - Move views (XML templates) to addons/itsulu_blog_publisher/views/ - Move data (cron, mail templates) to addons/itsulu_blog_publisher/data/ - Move security (ACL) to addons/itsulu_blog_publisher/security/ - Move tests and factories to addons/itsulu_blog_publisher/tests/ - Move BDD features to addons/itsulu_blog_publisher/features/ - Create __init__.py files for all Python packages This enables proper Odoo module discovery and import structure. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
230 lines
8.4 KiB
Python
230 lines
8.4 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Image Router — itsulu_blog_publisher
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======================================
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Independent from the text LLM router. Generates a cover image for the blog
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post and returns it as base64-encoded bytes for storage as an ir.attachment.
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Supported image providers:
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- openai_dalle : DALL·E 3 (via OpenAI /v1/images/generations)
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- google_imagen : Google Imagen (via Gemini API — requires Gemini API key)
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- stable_diff : Stable Diffusion (via Ollama / local Automatic1111 / SDXL)
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- none : Skip image generation (default if not configured)
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The image prompt is built from the blog post title and meta keywords so that
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the cover image is always contextually relevant.
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"""
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import base64
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import logging
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import requests
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from odoo.exceptions import UserError
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_logger = logging.getLogger(__name__)
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SUPPORTED_IMAGE_PROVIDERS = ('openai_dalle', 'google_imagen', 'stable_diff', 'none')
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def build_image_prompt(title: str, keywords: str) -> str:
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"""
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Construct a cover image prompt from title + keywords.
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Professional, editorial style — no faces, no text, no brand logos.
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"""
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kw_fragment = f" Related concepts: {keywords}." if keywords else ''
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return (
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f"Professional editorial cover image for a technology blog post titled: '{title}'."
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f"{kw_fragment} "
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"Modern flat design illustration, clean composition, vibrant but professional colors. "
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"No human faces. No text or words in the image. No brand logos."
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)
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class ImageRouter:
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"""
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Usage::
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router = ImageRouter(env, provider='openai_dalle')
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result = router.generate_cover(title='AI Governance 2026', keywords='AI, enterprise')
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# result is None (if provider='none') or ImageResult(b64_data, mime_type)
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"""
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def __init__(self, env, provider: str):
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self.env = env
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self.provider = (provider or 'none').lower().strip()
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if self.provider not in SUPPORTED_IMAGE_PROVIDERS:
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raise UserError(
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f"Image provider '{self.provider}' is not supported. "
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f"Choose one of: {', '.join(SUPPORTED_IMAGE_PROVIDERS)}."
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)
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def _get_param(self, key: str) -> str:
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return self.env['ir.config_parameter'].sudo().get_param(
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f'itsulu_blog_publisher.{key}', default=''
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)
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def generate_cover(self, title: str, keywords: str = '') -> 'ImageResult | None':
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"""
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Generate a cover image. Returns None when provider='none'.
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:raises UserError: on API failure.
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"""
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if self.provider == 'none':
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return None
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prompt = build_image_prompt(title=title, keywords=keywords)
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_logger.info("ImageRouter.generate_cover: provider=%s", self.provider)
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if self.provider == 'openai_dalle':
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return self._dalle(prompt)
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elif self.provider == 'google_imagen':
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return self._imagen(prompt)
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elif self.provider == 'stable_diff':
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return self._stable_diff(prompt)
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return None
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# ------------------------------------------------------------------ #
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# DALL·E 3 #
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# ------------------------------------------------------------------ #
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def _dalle(self, prompt: str) -> 'ImageResult':
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api_key = self._get_param('openai_api_key')
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if not api_key:
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raise UserError(
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"OpenAI API key is required for DALL·E image generation. "
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"Set it in Settings → Blog Publisher."
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)
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payload = {
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'model': 'dall-e-3',
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'prompt': prompt,
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'n': 1,
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'size': '1792x1024', # landscape for blog cover
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'response_format': 'b64_json',
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'quality': 'standard',
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}
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try:
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resp = requests.post(
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'https://api.openai.com/v1/images/generations',
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headers={'Authorization': f'Bearer {api_key}'},
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json=payload,
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timeout=120,
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)
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except requests.RequestException as exc:
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raise UserError(f"DALL·E 3 network error: {exc}") from exc
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if not resp.ok:
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try:
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err = resp.json().get('error', {}).get('message', resp.text[:300])
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except Exception:
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err = resp.text[:300]
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raise UserError(f"DALL·E 3 error {resp.status_code}: {err}")
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data = resp.json()
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b64 = data['data'][0]['b64_json']
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return ImageResult(b64_data=b64, mime_type='image/png')
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# ------------------------------------------------------------------ #
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# Google Imagen (via Gemini API) #
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# ------------------------------------------------------------------ #
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def _imagen(self, prompt: str) -> 'ImageResult':
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api_key = self._get_param('gemini_api_key')
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if not api_key:
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raise UserError(
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"Google Gemini API key is required for Imagen. "
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"Set it in Settings → Blog Publisher."
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)
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url = (
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f"https://generativelanguage.googleapis.com/v1beta/models/"
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f"imagen-3.0-generate-002:predict?key={api_key}"
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)
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payload = {
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'instances': [{'prompt': prompt}],
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'parameters': {
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'sampleCount': 1,
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'aspectRatio': '16:9',
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},
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}
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try:
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resp = requests.post(url, json=payload, timeout=120)
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except requests.RequestException as exc:
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raise UserError(f"Google Imagen network error: {exc}") from exc
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if not resp.ok:
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try:
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err = resp.json().get('error', {}).get('message', resp.text[:300])
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except Exception:
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err = resp.text[:300]
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raise UserError(f"Google Imagen error {resp.status_code}: {err}")
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predictions = resp.json().get('predictions', [])
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if not predictions:
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raise UserError("Google Imagen returned no image predictions.")
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b64 = predictions[0].get('bytesBase64Encoded', '')
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if not b64:
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raise UserError("Google Imagen returned an empty image.")
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return ImageResult(b64_data=b64, mime_type='image/png')
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# ------------------------------------------------------------------ #
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# Stable Diffusion (Ollama / Automatic1111 / ComfyUI) #
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# ------------------------------------------------------------------ #
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def _stable_diff(self, prompt: str) -> 'ImageResult':
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base_url = self._get_param('ollama_base_url')
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if not base_url:
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raise UserError(
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"Ollama / Stable Diffusion base URL is required for image generation. "
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"Set it in Settings → Blog Publisher."
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)
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# Try Ollama's native image generation endpoint (Ollama >= 0.5 supports it
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# for vision/image models like llava, bakllava, and SD models via ollama pull)
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url = f"{base_url.rstrip('/')}/api/generate"
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payload = {
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'model': self._get_param('image_ollama_model') or 'stable-diffusion',
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'prompt': prompt,
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'stream': False,
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}
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try:
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resp = requests.post(url, json=payload, timeout=300)
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except requests.RequestException as exc:
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raise UserError(f"Stable Diffusion (Ollama) network error: {exc}") from exc
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if not resp.ok:
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raise UserError(
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f"Stable Diffusion returned HTTP {resp.status_code}: {resp.text[:300]}"
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)
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data = resp.json()
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images = data.get('images', [])
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if not images:
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raise UserError(
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"Stable Diffusion returned no images. "
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"Check that a compatible image model is loaded in Ollama."
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)
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return ImageResult(b64_data=images[0], mime_type='image/png')
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class ImageResult:
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"""Holds the generated image as base64 + mime type."""
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def __init__(self, b64_data: str, mime_type: str = 'image/png'):
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self.b64_data = b64_data
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self.mime_type = mime_type
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def to_bytes(self) -> bytes:
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return base64.b64decode(self.b64_data)
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def to_odoo_attachment_vals(self, name: str = 'cover_image.png') -> dict:
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"""Return vals dict for ir.attachment.create()."""
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return {
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'name': name,
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'datas': self.b64_data,
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'mimetype': self.mime_type,
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}
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