# itsulu_blog_publisher — Architecture & Module Plan
# Version: 0.1-RED (tests only, no implementation)
# Target: Odoo 14 Community, forward-compatible to v20

## Problem Being Solved

Claude CoWork running on a Windows VM generates 3 blog posts/day.
It is fragile, token-wasteful (no batching, no structured output), 
and cannot be scheduled reliably. This addon moves the entire pipeline
server-side into Odoo, eliminating the VM dependency.

---

## Module: itsulu_blog_publisher

### Technical name
`itsulu_blog_publisher`

### Odoo Dependencies
- `website_blog`   — blog.blog, blog.post, blog.tag models
- `website`        — website publishing, URL computation
- `mail`           — mail.mail for notification emails
- `base_setup`     — res.config.settings extension
- `base`           — ir.config_parameter (encrypted API key storage)

### Python Dependencies (to add to requirements.txt)
- `requests` (already in Odoo standard)
- `anthropic` (Anthropic SDK — or raw HTTP via requests)
- `openai` (OpenAI SDK — or raw HTTP)
- `google-generativeai` (Gemini — or raw HTTP)
- No extra SDK needed for Ollama — it exposes an OpenAI-compatible REST API

---

## File Tree

```
addons/itsulu_blog_publisher/
├── __init__.py
├── __manifest__.py
│
├── models/
│   ├── __init__.py
│   ├── blog_topic.py            # itsulu.blog.topic
│   ├── blog_schedule.py         # itsulu.blog.schedule
│   ├── blog_generation_log.py   # itsulu.blog.generation.log
│   ├── blog_post_social.py      # itsulu.blog.post.social
│   └── res_config_settings.py   # extends res.config.settings
│
├── services/
│   ├── __init__.py
│   ├── llm_router.py            # LLMRouter, LLMResponse dataclass
│   ├── anthropic_provider.py    # AnthropicProvider
│   ├── openai_provider.py       # OpenAIProvider (also covers Ollama OpenAI-compat)
│   ├── gemini_provider.py       # GeminiProvider
│   └── ollama_provider.py       # OllamaProvider (native /api/chat)
│
├── wizards/
│   ├── __init__.py
│   └── generate_now_wizard.py   # itsulu.blog.generate.wizard
│
├── views/
│   ├── blog_topic_views.xml
│   ├── blog_schedule_views.xml
│   ├── blog_generation_log_views.xml
│   ├── blog_post_social_views.xml
│   ├── generate_now_wizard_views.xml
│   ├── res_config_settings_views.xml
│   ├── menu_views.xml
│   └── website_blog_publisher_templates.xml  # Website toolbar button + wizard
│
├── data/
│   ├── ir_cron_data.xml         # Three scheduled actions (morning/afternoon/evening)
│   └── mail_template_data.xml   # Notification email template
│
├── security/
│   └── ir.model.access.csv
│
├── tests/
│   ├── __init__.py
│   ├── factories.py
│   ├── test_llm_router.py
│   ├── test_blog_topic.py
│   ├── test_blog_generation_log.py
│   ├── test_blog_schedule.py
│   └── test_blog_post_social.py   # Also covers SEO + notification email
│
└── features/
    ├── blog_generation.feature
    ├── blog_scheduling.feature
    ├── llm_provider_selection.feature
    ├── seo_population.feature
    └── notification_email.feature
```

---

## Data Models

### itsulu.blog.topic
| Field | Type | Notes |
|---|---|---|
| name | Char | Topic/title hint for LLM |
| priority | Selection | low / normal / high / urgent |
| state | Selection | pending / used / skipped |
| blog_id | Many2one | blog.blog — optional target blog |
| notes | Text | Additional context for LLM prompt |
| used_date | Datetime | When mark_used() was called |

### itsulu.blog.schedule  
| Field | Type | Notes |
|---|---|---|
| name | Char | Human label (e.g. "Morning Post") |
| slot | Selection | morning / afternoon / evening |
| trigger_time | Float | Hours (8.0 = 08:00 UTC) |
| active | Boolean | If False, scheduler skips this slot |
| blog_id | Many2one | blog.blog — target blog for this slot |
| llm_provider | Selection | anthropic / openai / gemini / ollama |
| llm_model | Char | e.g. claude-sonnet-4-20250514 |
| auto_publish | Boolean | True = publish immediately |
| prompt_override | Text | Optional custom prompt (overrides default template) |
| notification_emails | Char | Comma-separated; defaults to Settings value |

### itsulu.blog.generation.log
| Field | Type | Notes |
|---|---|---|
| state | Selection | running / success / error |
| trigger_source | Selection | manual / scheduled |
| schedule_slot | Selection | morning / afternoon / evening / False |
| blog_post_id | Many2one | blog.post — None if error |
| llm_provider | Char | Provider used |
| llm_model | Char | Model used |
| tokens_used | Integer | 0 if error before LLM call |
| duration_seconds | Float | Wall-clock time |
| error_message | Text | Human-readable error |
| topic_used | Char | The topic string sent to LLM |
| topic_source | Selection | queue / llm / manual |
| create_date | Datetime | Auto (Odoo standard) |

### itsulu.blog.post.social
| Field | Type | Notes |
|---|---|---|
| blog_post_id | Many2one | blog.post — one-to-one |
| twitter_post_a | Text | ≤ 280 chars exc URL |
| twitter_post_b | Text | ≤ 280 chars exc URL |
| bluesky_post_a | Text | ≤ 300 chars |
| bluesky_post_b | Text | ≤ 300 chars |
| mastodon_post | Text | ≤ 500 chars |
| linkedin_post | Text | 150-3000 chars |
| sources_referenced | Text | Newline-separated URL list |

---

## LLM Router Design

```
LLMRouter(env, provider, model)
  └── .generate(prompt, system_prompt=None) → LLMResponse
        ├── reads API key from ir.config_parameter
        ├── dispatches to AnthropicProvider / OpenAIProvider / GeminiProvider / OllamaProvider
        └── returns LLMResponse(text, tokens_used, title, meta_title,
                                meta_description, meta_keywords, tags[], social)

LLMResponse is a dataclass or simple class, NOT an Odoo model.
```

The LLM is asked in a **single API call** to return a JSON object containing:
- `title` (plain text)
- `body_html` (full HTML body, min 500 chars)  
- `meta_title` (≤60 chars)
- `meta_description` (≤155 chars)  
- `meta_keywords` (comma-separated)
- `tags` (list of strings)
- `social.twitter_a`, `social.twitter_b` (≤280 chars each exc URL)
- `social.bluesky_a`, `social.bluesky_b` (≤300 chars each)
- `social.mastodon` (≤500 chars)
- `social.linkedin` (150-3000 chars)
- `sources` (list of {title, url} — optional, model-dependent)

**One call, structured JSON output** = lowest token usage, no back-and-forth.

---

## Generation Orchestration Flow

```
User clicks "Generate Now" (backend wizard or website button)
  │
  ▼
GenerateNowWizard.action_generate()
  │
  ├─ 1. Resolve topic (from wizard input, or topic queue, or LLM-chosen)
  ├─ 2. Build prompt from template (substituting topic, blog name, date, tone)
  ├─ 3. Instantiate LLMRouter with selected provider + model
  ├─ 4. log = create generation log with state='running'
  ├─ 5. Call router.generate(prompt)
  │     ├── SUCCESS →
  │     │     ├─ 6a. Create blog.post with body_arch, SEO fields, tags
  │     │     ├─ 6b. Create itsulu.blog.post.social record
  │     │     ├─ 6c. If auto_publish: post.website_published = True
  │     │     ├─ 6d. log.state = 'success', log.tokens_used = X
  │     │     ├─ 6e. If published: log.send_notification_email()
  │     │     └─ 6f. If topic from queue: topic.mark_used()
  │     └── FAILURE →
  │           ├─ 7a. log.state = 'error', log.error_message = str(exc)
  │           └─ 7b. Return — no blog.post created
  └─ 8. Return action to open log record (success) or error wizard
```

---

## Settings (res.config.settings additions)

All stored in ir.config_parameter. API keys use Odoo's standard
password widget (not shown in the form after save).

| Setting key | Description |
|---|---|
| itsulu_blog_publisher.anthropic_api_key | Anthropic API key |
| itsulu_blog_publisher.openai_api_key | OpenAI API key |
| itsulu_blog_publisher.gemini_api_key | Google Gemini API key |
| itsulu_blog_publisher.ollama_base_url | Ollama server URL (e.g. http://192.168.1.x:11434) |
| itsulu_blog_publisher.default_provider | Default LLM provider |
| itsulu_blog_publisher.default_model | Default model for the default provider |
| itsulu_blog_publisher.notification_emails | Comma-separated recipient list |
| itsulu_blog_publisher.default_blog_id | Default blog.blog to post to |
| itsulu_blog_publisher.system_prompt | Editable system prompt template |
| itsulu_blog_publisher.user_prompt_template | Editable user prompt with {topic}, {blog_name}, {date} |
| itsulu_blog_publisher.anthropic_image_model | e.g. (future: when image gen is supported) |

---

## Notification Email Format

Matches the uploaded [ITSulu Insights] .eml exactly:

Subject: [{{blog_name}}] Blog Post Published: {{title}} - {{date}}

Body sections (HTML):
1. Header: blog name, date, title, URL
2. Post Details: topic area, tags, publication status, blog name
3. Social Media Posts (per platform with coloured left-border):
   - 🐦 X (Twitter) Post A + Post B
   - 🌐 BlueSky Post A + Post B  
   - 🦣 Fediverse/Mastodon
   - 💼 LinkedIn
4. News Sources Referenced (if LLM returned sources)
5. Footer: Generated date + "ITSulu Daily Blog Publisher"

---

## SLO Targets

| Metric | Target |
|---|---|
| Single generation (Anthropic Sonnet) | < 30 seconds |
| Token usage per post (structured JSON) | < 2,500 tokens |
| Notification email sent after publish | < 5 seconds |
| Scheduled cron slots per day | 3 (configurable) |
| Log retention | 90 days (configurable, then auto-delete via cron) |

---

## Open Questions (from initial analysis — awaiting your answers)

Q1: Third blog slot name ("itsulu blog afternoon" appears twice — is the third "evening"?)
Q2: Image generation provider (separate from text provider?)
Q3: Ollama base URL for your installation
Q4: Email recipient(s) — fixed list in Settings or follow triggering user?
Q5: Social media platforms — all four always, or per-schedule configurable?
Q6: Sources section — should LLM be prompted to include real URLs, or skip?
Q7: Prompt template — editable in backend UI, or hardcoded default for now?
Q8: Topic input — free-text each time, topic queue, or both?