[ADD] discuss_ai_search: AI-based natural language search for Discuss

discuss_ai_search/__init__.py

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+from . import models

discuss_ai_search/__manifest__.py

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+{
+    'name': "Discuss AI Search",
+    'version': '1.0',
+    'category': 'Discuss',
+    'summary': "Categorize and summarize Discuss messages using AI",
+    'depends': ['mail'],
+    'data': [
+        'data/discuss_demo_data.xml'
+    ],
+    'assets': {
+        'web.assets_backend': [
+            'discuss_ai_search/static/src/**/*',
+        ],
+    },
+    'author': "Parth Sawant",
+    'license': 'LGPL-3',
+}

discuss_ai_search/models/__init__.py

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+from . import discuss_ai
+from . import discuss_channel

discuss_ai_search/models/discuss_ai.py

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+import requests
+from odoo.exceptions import UserError
+from odoo import _
+
+GEMINI_URL = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-lite:generateContent"
+
+
+def _get_api_key(env):
+    api_key = env['ir.config_parameter'].sudo().get_param('ai.google_key')
+    if not api_key:
+        raise UserError(_("Please configure the Google API key in Settings."))
+    return api_key
+
+
+def ask_ai(env, prompt):
+    headers = {
+        "x-goog-api-key": _get_api_key(env),
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "contents": [{"parts": [{"text": prompt}]}],
+        "generationConfig": {
+            "responseMimeType":"application/json",
+            "responseSchema":{
+                "type":"object",
+                "properties":{
+                    "answer":{"type":"string"},
+                    "message_ids":{
+                        "type":"array",
+                        "items":{"type":"integer"}
+                    }
+                },
+                "required":["answer","message_ids"]
+            }
+        }
+    }
+    response = requests.post(GEMINI_URL, headers=headers, json=payload, timeout=60)
+    response.raise_for_status()
+    data = response.json()
+    return  data['candidates'][0]['content']['parts'][0]['text']
+
+def ask_ai_summarize(env, prompt):
+    headers = {
+        "x-goog-api-key": _get_api_key(env),
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "contents": [{"parts": [{"text": prompt}]}]
+    }
+    response = requests.post(GEMINI_URL, headers=headers, json=payload, timeout=60)
+    response.raise_for_status()
+    data = response.json()
+    return  data['candidates'][0]['content']['parts'][0]['text']

discuss_ai_search/models/discuss_channel.py

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+from odoo import models
+from odoo.tools import html2plaintext
+import json
+from odoo.addons.mail.tools.discuss import Store
+from . import discuss_ai
+
+
+class DiscussChannel(models.Model):
+    _inherit = "discuss.channel"
+
+    def action_ask_ai(self, user_prompt):
+        self.ensure_one()
+
+        messages = self.message_ids.filtered(lambda m: m.message_type == 'comment').sorted('id')
+        if not messages:
+            return "There are no messages in this conversation yet.", {}, []
+
+        lines = messages.mapped(
+            lambda m: f"[{m.id}] {m.author_id.name}: {html2plaintext(m.body)}"
+        )
+
+        conversation = "\n".join(lines)
+
+        prompt = f"""You are answering a question about a team chat conversation.
+Use ONLY the messages below. Each line starts with its message id in brackets, e.g. "[42]".
+Answer in 2-4 plain sentences, written naturally for a human to read.
+The "answer" field must contain ONLY natural language prose. Do NOT include any
+message ids, numbers in brackets like "[42]", or a trailing list of numbers
+(e.g. "...,22,23,24,25") anywhere in the answer text.
+Put the ids of the messages you relied on ONLY in the separate message_ids field (at most 5).
+
+Conversation:
+{conversation}
+
+User Prompt: {user_prompt}
+"""
+        text = discuss_ai.ask_ai(self.env, prompt)
+        result = json.loads(text)
+        breakpoint()
+        answer = result['answer']
+        message_ids = result['message_ids']
+        references = self.env['mail.message'].browse(message_ids).exists()
+        store_data = Store().add(references).get_result()
+        return answer, store_data, references.ids
+
+
+    def action_summarize_ai(self):
+        self.ensure_one()
+
+        messages = self.message_ids.filtered(lambda m: m.message_type == 'comment').sorted('id')
+        if not messages:
+            return "There are no messages in this conversation yet."
+
+        lines = messages.mapped(
+            lambda m: f"{m.author_id.name}: {html2plaintext(m.body)}"
+        )
+        conversation = "\n".join(lines)
+
+        prompt = f"""Summarize the conversation below in a short paragraph, then add a heading
+"Key points:" in bold, followed by the key decisions made as a bullet list.
+Format the entire response as simple HTML using only <p>, <strong>, <ul>, and <li> tags.
+Do NOT use markdown syntax (no "*", "#", "**") and do NOT wrap the output in
+a code block.
+
+Conversation:
+{conversation}
+"""
+        summary = discuss_ai.ask_ai_summarize(self.env, prompt)
+        return summary

discuss_ai_search/static/src/ai_search_panel.js

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+import { Component } from "@odoo/owl";
+import { ActionPanel } from "@mail/discuss/core/common/action_panel";
+import { useState } from "@odoo/owl";
+import {useService} from "@web/core/utils/hooks";
+import {MessageCardList} from "@mail/core/common/message_card_list";
+import { markup } from "@odoo/owl";
+
+export class AiSearchPanel extends Component {
+    static template = "discuss_ai_search.AiSearchPanel";
+    static props = ["thread"];
+    static components = { ActionPanel, MessageCardList };
+
+
+    setup() {
+        this.orm = useService("orm");
+        this.store = useService("mail.store");
+        this.state = useState({
+            user_prompt: "",
+            answer: "",
+            messageIds: [],
+        });
+
+    }
+    async ask() {
+        this.state.answer = ""
+        this.state.messageIds = []
+        const [answer, storeData, messageIds] = await this.orm.call(
+            "discuss.channel",
+            "action_ask_ai",
+            [this.props.thread.id, this.state.user_prompt]
+        )
+        this.store.insert(storeData)
+        this.state.answer = answer
+        this.state.messageIds = messageIds
+    }
+
+    get messages() {
+        return this.state.messageIds.map((id) => this.store["mail.message"].get(id)).filter(Boolean)
+    }
+
+    async summarize() {
+        this.state.user_prompt = ""
+        this.state.messageIds = []
+        this.state.answer = ""
+        const summarize = await this.orm.call(
+            "discuss.channel",
+            "action_summarize_ai",
+            [this.props.thread.id]
+        )
+        this.state.answer = markup(summarize)
+
+    }
+}

discuss_ai_search/static/src/ai_search_panel.scss

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+.o-discuss-AiSearchPanel {
+    &-input {
+        font-size: 13.5px;
+        border-color: #e5d4d4;
+
+        &:focus {
+            border-color: #a9425a;
+            box-shadow: 0 0 0 2px rgba(169, 66, 90, 0.12);
+        }
+    }
+
+    &-ask {
+        background-color: #a9425a;
+        color: #ffffff;
+        font-weight: 600;
+        border: none;
+
+        &:hover {
+            background-color: #8f3549;
+            color: #ffffff;
+        }
+    }
+
+    &-summarize {
+        background-color: #f9dfe2;
+        color: #7a2f3d;
+        font-weight: 500;
+        border: 1px solid #f0c4ca;
+
+        &:hover {
+            background-color: #f3cdd2;
+        }
+    }
+
+    &-response {
+        background-color: #fdf6f7;
+        border: 1px solid #f0c4ca;
+        border-radius: 6px;
+        padding: 10px 12px;
+        font-size: 13.5px;
+        line-height: 1.5;
+
+        p:last-child, ul:last-child {
+            margin-bottom: 0;
+        }
+    }
+}

discuss_ai_search/static/src/ai_search_panel.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<templates xml:space="preserve">
+    <t t-name="discuss_ai_search.AiSearchPanel">
+        <ActionPanel title="'Search with AI'" minWidth="250" initialWidth="350" icon="'fa fa-magic'">
+            <div class="o-discuss-AiSearchPanel d-flex flex-column gap-2">
+                <div class="d-flex align-items-stretch gap-2">
+                    <textarea 
+                        class="o-discuss-AiSearchPanel-input form-control"
+                        placeholder="Find the chat about quotation meeting"
+                        t-model="state.user_prompt"
+                    />
+                    <button class="o-discuss-AiSearchPanel-ask btn btn-primary" t-on-click="ask">
+                        Ask
+                    </button>
+                </div>
+                <button class="o-discuss-AiSearchPanel-summarize btn mt-1" t-on-click="summarize">
+                    Summarize this conversation
+                </button>
+                <div class="o-discuss-AiSearchPanel-response" t-if="state.answer">
+                    <t t-out="state.answer"/>
+                </div>
+                <t t-if="messages.length">
+                    <p class="o-discuss-AiSearchPanel-count text-muted fw-bolder text-uppercase small mb-0">
+                        <t t-esc="messages.length"/> message<t t-if="messages.length > 1">s</t> found
+                    </p>
+                    <MessageCardList messages="messages" mode="'search'" thread="props.thread"/>
+                </t>
+            </div>
+        </ActionPanel>
+    </t>
+</templates>

discuss_ai_search/static/src/thread_action.js

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+import { registerThreadAction } from "@mail/core/common/thread_actions";
+import { AiSearchPanel } from "@discuss_ai_search/ai_search_panel";
+import { _t } from "@web/core/l10n/translation";
+
+registerThreadAction("discuss_ai_search", {
+    actionPanelComponent: AiSearchPanel,
+    condition: ({ thread }) => thread?.model === "discuss.channel",
+    icon: "fa fa-fw fa-magic",
+    name: _t("Ask AI"),
+    sequence: 9,
+    sequenceGroup: 30,
+    toggle: true,
+});