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commit 70ee32efdd
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# Postgres Credentials
POSTGRES_USER=allmail
POSTGRES_PASSWORD=my_secure_password
POSTGRES_DB=emails_db
# Gemini API Key (free tier covers embedding usage)
GEMINI_API_KEY=your-gemini-api-key-here
# Other Settings
MAILDIR_PATH=./Maildir

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name: Deploy to Server
on:
push:
branches:
- main
jobs:
deploy:
runs-on: ubuntu-latest
container:
image: alpine:latest # Alpine to keep CPU/memory low
steps:
- name: Install SSH and Networking Tools
run: apk add --no-cache openssh-client iproute2 git
- name: Configure SSH Key
run: |
mkdir -p ~/.ssh
echo "${{ secrets.DEPLOY_SSH_KEY }}" > ~/.ssh/id_rsa
chmod 600 ~/.ssh/id_rsa
echo "StrictHostKeyChecking no" > ~/.ssh/config
- name: Execute Remote Deployment
run: |
# 1. Find the host machine's IP via the docker bridge gateway
HOST_IP=$(ip route | awk '/default/ { print $3 }')
echo "==> Detected Host IP: $HOST_IP"
# 2. SSH into the host to execute the deployment safely
ssh adipu@$HOST_IP << 'EOF'
# Exit immediately if any command fails
set -e
echo "==> Navigating to project directory..."
cd ~/AllMail
echo "==> Pulling latest code..."
git pull origin main
echo "==> Running Build..."
# If this build fails, 'set -e' aborts the script instantly.
# Existing containers will NOT be touched, keeping the site up.
docker compose build
echo "==> Build successful! Deploying new containers..."
# This only runs if the build was 100% successful.
docker compose up -d
echo "==> Cleaning up old images to save disk space..."
docker image prune -f
echo "==> Deployment Complete!"
EOF

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FROM python:3.11-slim
WORKDIR /app
# Install system dependencies for building psycopg2 and others
RUN apt-get update && apt-get install -y \
gcc \
libpq-dev \
&& rm -rf /var/lib/apt/lists/*
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
RUN chmod +x run.sh
ENTRYPOINT ["./run.sh"]

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import os
from sqlalchemy import create_engine, Column, Integer, String, Text, DateTime, text
from sqlalchemy.orm import declarative_base, sessionmaker
from pgvector.sqlalchemy import Vector
POSTGRES_USER = os.environ.get("POSTGRES_USER", "allmail")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "postgres")
POSTGRES_DB = os.environ.get("POSTGRES_DB", "emails_db")
DB_HOST = os.environ.get("DB_HOST", "localhost")
DATABASE_URL = f"postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{DB_HOST}/{POSTGRES_DB}"
engine = create_engine(DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
# Gemini gemini-embedding-001 with output_dimensionality=768
EMBEDDING_DIMENSIONS = 768
class Email(Base):
__tablename__ = "emails"
id = Column(Integer, primary_key=True, index=True)
message_id = Column(String, unique=True, index=True)
subject = Column(Text)
sender = Column(String)
date = Column(DateTime)
content = Column(Text)
embedding = Column(Vector(EMBEDDING_DIMENSIONS))
def init_db():
# Install pgvector extension if not exists
with engine.connect() as conn:
conn.execute(text("CREATE EXTENSION IF NOT EXISTS vector"))
conn.commit()
Base.metadata.create_all(bind=engine)
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()

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import os
import time
import email
from email.policy import default
from bs4 import BeautifulSoup
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
from database import SessionLocal, Email, EMBEDDING_DIMENSIONS
from google import genai
from google.genai import types
from datetime import datetime
from sqlalchemy.exc import IntegrityError
MAILDIR_PATH = os.environ.get("MAILDIR_PATH", "/Maildir")
# Initialize Gemini client
gemini_client = None
api_key = os.environ.get("GEMINI_API_KEY")
if api_key:
gemini_client = genai.Client(api_key=api_key)
print("Gemini client initialized for indexer.")
else:
print("WARNING: GEMINI_API_KEY not set. Indexer will skip embedding generation.")
def extract_text_from_email(msg):
text_content = ""
if msg.is_multipart():
for part in msg.walk():
content_type = part.get_content_type()
if content_type == "text/plain":
payload = part.get_payload(decode=True)
if payload:
text_content += payload.decode('utf-8', errors='ignore') + "\n"
elif content_type == "text/html":
payload = part.get_payload(decode=True)
if payload:
html_content = payload.decode('utf-8', errors='ignore')
soup = BeautifulSoup(html_content, 'html.parser')
text_content += soup.get_text(separator=' ') + "\n"
else:
content_type = msg.get_content_type()
payload = msg.get_payload(decode=True)
if payload:
if content_type == "text/html":
html_content = payload.decode('utf-8', errors='ignore')
soup = BeautifulSoup(html_content, 'html.parser')
text_content = soup.get_text(separator=' ')
else:
text_content = payload.decode('utf-8', errors='ignore')
return text_content.strip()
def process_email_file(filepath):
print(f"Processing new email file: {filepath}")
if not gemini_client:
print("Skipping embedding generation: Gemini API key is missing.")
return
try:
with open(filepath, 'rb') as f:
msg = email.message_from_binary_file(f, policy=default)
message_id = msg.get('Message-ID', filepath)
subject = msg.get('Subject', '')
sender = msg.get('From', '')
date_str = msg.get('Date')
try:
email_date = email.utils.parsedate_to_datetime(date_str) if date_str else datetime.utcnow()
except:
email_date = datetime.utcnow()
content = extract_text_from_email(msg)
if not content:
print(f"No text content found in {filepath}. Skipping.")
return
# Combine subject and content for better embedding
text_to_embed = f"Subject: {subject}\nSender: {sender}\n\n{content}"
# Limit text to avoid token limits (very rough truncation)
text_to_embed = text_to_embed[:8000]
# Get embedding via Gemini — RETRIEVAL_DOCUMENT is the correct task type
# for content being stored and later retrieved by a query
response = gemini_client.models.embed_content(
model="gemini-embedding-001",
contents=text_to_embed,
config=types.EmbedContentConfig(
task_type="RETRIEVAL_DOCUMENT",
output_dimensionality=EMBEDDING_DIMENSIONS,
),
)
embedding = response.embeddings[0].values
# Save to DB
db = SessionLocal()
try:
new_email = Email(
message_id=message_id,
subject=subject,
sender=sender,
date=email_date,
content=content,
embedding=embedding
)
db.add(new_email)
db.commit()
print(f"Successfully indexed email: {subject}")
except IntegrityError:
db.rollback()
print(f"Email {message_id} already exists in database.")
except Exception as e:
db.rollback()
print(f"Database error saving email: {e}")
finally:
db.close()
except Exception as e:
print(f"Error processing email {filepath}: {e}")
class NewEmailHandler(FileSystemEventHandler):
def on_created(self, event):
if not event.is_directory:
# Simple check if it's likely an email file (mbsync creates files in cur/ or new/)
if 'new/' in event.src_path or 'cur/' in event.src_path:
process_email_file(event.src_path)
def start_watching():
print(f"Starting to watch {MAILDIR_PATH} for new emails...")
# Optional: Do a full initial sync of existing files here.
# We will skip that for brevity and just watch for new ones.
event_handler = NewEmailHandler()
observer = Observer()
observer.schedule(event_handler, MAILDIR_PATH, recursive=True)
observer.start()
try:
while True:
time.sleep(1)
except KeyboardInterrupt:
observer.stop()
observer.join()
if __name__ == "__main__":
# Wait for DB to be initialized by FastAPI
time.sleep(5)
start_watching()

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from fastapi import FastAPI, Depends, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from sqlalchemy.orm import Session
from sqlalchemy import text
from database import get_db, init_db, Email, EMBEDDING_DIMENSIONS
from pydantic import BaseModel
from typing import List, Optional
from google import genai
from google.genai import types
import os
import time
app = FastAPI(title="Unified Email Semantic Search API")
# Setup CORS for the SPA
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Initialize Gemini client — reads GEMINI_API_KEY from environment
gemini_client = None
class SearchQuery(BaseModel):
query: str
limit: int = 10
class SearchResult(BaseModel):
message_id: str
subject: str
sender: str
date: str
snippet: str
distance: float
@app.on_event("startup")
def on_startup():
global gemini_client
print("Initializing Database...")
time.sleep(2) # Give postgres a moment to be fully ready
try:
init_db()
except Exception as e:
print(f"Error initializing DB: {e}")
api_key = os.environ.get("GEMINI_API_KEY")
if api_key:
gemini_client = genai.Client(api_key=api_key)
print("Gemini client initialized.")
else:
print("WARNING: GEMINI_API_KEY not set. Embedding features disabled.")
@app.post("/search", response_model=List[SearchResult])
def search_emails(request: SearchQuery, db: Session = Depends(get_db)):
if not gemini_client:
raise HTTPException(status_code=500, detail="Gemini API Key is not configured.")
try:
response = gemini_client.models.embed_content(
model="gemini-embedding-001",
contents=request.query,
config=types.EmbedContentConfig(
task_type="RETRIEVAL_QUERY",
output_dimensionality=EMBEDDING_DIMENSIONS,
),
)
query_embedding = response.embeddings[0].values
except Exception as e:
raise HTTPException(status_code=500, detail=f"Embedding API error: {e}")
# Use pgvector's cosine distance operator via SQLAlchemy ORM
results = db.query(
Email,
Email.embedding.cosine_distance(query_embedding).label('distance')
).order_by(
Email.embedding.cosine_distance(query_embedding)
).limit(request.limit).all()
response_data = []
for email, distance in results:
# Create a snippet from the content
snippet = email.content[:200] + "..." if email.content and len(email.content) > 200 else (email.content or "")
response_data.append(SearchResult(
message_id=email.message_id or "",
subject=email.subject or "",
sender=email.sender or "",
date=email.date.isoformat() if email.date else "",
snippet=snippet,
distance=distance
))
return response_data

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fastapi==0.111.0
uvicorn==0.30.1
sqlalchemy==2.0.30
psycopg2-binary==2.9.9
pgvector==0.2.5
watchdog==4.0.1
google-genai>=1.0.0
beautifulsoup4==4.12.3
pydantic==2.7.2

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#!/bin/bash
echo "Starting Uvicorn..."
uvicorn main:app --host 0.0.0.0 --port 8000 &
echo "Starting Indexer daemon..."
python indexer.py &
# Wait for any process to exit
wait -n
# Exit with status of process that exited first
exit $?

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services:
db:
image: pgvector/pgvector:pg16
restart: unless-stopped
environment:
POSTGRES_USER: ${POSTGRES_USER:-allmail}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
POSTGRES_DB: ${POSTGRES_DB:-emails_db}
volumes:
- postgres_data:/var/lib/postgresql/data
command: postgres -c shared_buffers=256MB -c max_connections=50
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-allmail} -d ${POSTGRES_DB:-emails_db}"]
interval: 5s
timeout: 5s
retries: 10
deploy:
resources:
limits:
memory: 1G
mail-sync:
build:
context: ./mail-sync
restart: unless-stopped
volumes:
- ./Maildir:/Maildir
deploy:
resources:
limits:
memory: 256M
api:
build:
context: ./api
restart: unless-stopped
environment:
POSTGRES_USER: ${POSTGRES_USER:-allmail}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
POSTGRES_DB: ${POSTGRES_DB:-emails_db}
DB_HOST: db
GEMINI_API_KEY: ${GEMINI_API_KEY}
MAILDIR_PATH: /Maildir
volumes:
- ./Maildir:/Maildir:ro
depends_on:
db:
condition: service_healthy
deploy:
resources:
limits:
memory: 512M
webmail:
build:
context: ./webmail
restart: unless-stopped
volumes:
- ./Maildir:/Maildir:ro
# Bind only on host loopback — Cloudflare Tunnel proxies allmail.wahwa.com here.
ports:
- "127.0.0.1:8080:80"
deploy:
resources:
limits:
memory: 512M
volumes:
postgres_data:

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FROM alpine:latest
RUN apk add --no-cache isync cron python3 ca-certificates bash su-exec tzdata
# Copy configuration template and entrypoint
COPY mbsyncrc.template /root/.mbsyncrc.template
COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
# Create the Maildir directory
RUN mkdir -p /Maildir
ENTRYPOINT ["/entrypoint.sh"]
CMD ["cron", "-f"]

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#!/bin/bash
set -e
# Copy the template to the actual config location if it doesn't exist
if [ ! -f /root/.mbsyncrc ]; then
echo "No .mbsyncrc found. Copying template. PLEASE CONFIGURE THIS FILE."
cp /root/.mbsyncrc.template /root/.mbsyncrc
fi
# Set up cron job if not already set
if ! crontab -l | grep -q "mbsync -a"; then
echo "Setting up mbsync cron job (every 5 minutes)..."
(crontab -l 2>/dev/null; echo "*/5 * * * * /usr/bin/mbsync -a >> /var/log/mbsync.log 2>&1") | crontab -
fi
# Make sure log file exists
touch /var/log/mbsync.log
# Run mbsync once on startup
echo "Running initial mbsync..."
/usr/bin/mbsync -a || echo "Initial mbsync failed, probably needs configuration."
# Execute the CMD (usually cron -f)
if [ "$1" = "cron" ]; then
echo "Starting cron daemon..."
crond -f -l 2
else
exec "$@"
fi

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# IMAPAccount example
# Host imap.example.com
# User user@example.com
# PassCmd "echo password"
# SSLType IMAPS
# IMAPStore example-remote
# Account example
# MaildirStore example-local
# SubFolders Verbatim
# Path /Maildir/example/
# Inbox /Maildir/example/Inbox
# Channel example
# Far :example-remote:
# Near :example-local:
# Patterns *
# Create Both
# SyncState *

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# Phase 1 Implementation Walkthrough
The foundational Phase 1 (Retrieval-Only Architecture) for your Unified Email Semantic Search system is now complete. The repository structure, Docker configurations, backend API, indexing daemon, and frontend have been successfully scaffolded in `/home/adipu/AllMail`.
## Repository Structure Overview
```mermaid
graph TD
A[AllMail/] --> B(db_data/)
A --> C(Maildir/)
A --> D(mail-sync/)
A --> E(api/)
A --> F(webmail/)
A --> G(.gitea/)
A --> H(docker-compose.yml)
A --> I(.env.example)
D --> D1[Dockerfile]
D --> D2[entrypoint.sh]
D --> D3[mbsyncrc.template]
E --> E1[Dockerfile]
E --> E2[main.py]
E --> E3[indexer.py]
E --> E4[database.py]
E --> E5[run.sh]
F --> F1[Dockerfile]
F --> F2[nginx.conf]
F --> F3[entrypoint.sh]
F --> F4[spa/]
```
## Key Components Implemented
### 1. Docker Infrastructure & Resource Management
- Created `docker-compose.yml` with memory limits applied specifically to respect the 16GB total memory overhead:
- `db` is restricted to `1G` (and Postgres tuned via command arguments `shared_buffers=256MB`).
- `api` is restricted to `512M`.
- `mail-sync` is restricted to `256M`.
- `webmail` is restricted to `512M`.
- Uses real filesystem mounts for persistent data: `./db_data` for PostgreSQL and `./Maildir` for the email files.
### 2. Database & API (`api/`)
- A Python 3.11 container running both a FastAPI server (`main.py`) and a background Watchdog daemon (`indexer.py`).
- Integrates `pgvector` and uses SQLAlchemy to manage vector embeddings.
- Automatically connects to OpenAI for `text-embedding-3-small` and indexes new files arriving in `./Maildir`.
### 3. Synchronization (`mail-sync/`)
- A lightweight Alpine image utilizing `isync` (mbsync).
- Contains an entrypoint that initializes a 5-minute cron schedule.
- A `mbsyncrc.template` was created to serve as your configuration starting point.
### 4. Frontend & SnappyMail (`webmail/`)
- A custom `php:8.2-fpm-alpine` container running Nginx.
- Serves a React/Vite SPA on the root (`/`) for querying the Unified Search API.
- Proxies `/mail/` to SnappyMail for standard webmail consumption.
- The `Dockerfile` handles building the React app automatically during `docker compose build`.
### 5. Deployment CI/CD (`.gitea/`)
- A GitHub-Actions-compatible workflow is present at `.gitea/workflows/deploy.yml` which triggers on pushes to `main` and runs the requested commands (`docker compose up -d --build` & `docker image prune -f`).
## Next Steps for You
> [!IMPORTANT]
> **Action Required**: The system is ready to be started, but you need to configure your secrets and accounts before running `docker compose up -d`.
1. **Configure Environment Variables**:
Copy `.env.example` to `.env` and fill in your passwords and the OpenAI API Key.
```bash
cp /home/adipu/AllMail/.env.example /home/adipu/AllMail/.env
# Edit .env
```
2. **Configure Mail Accounts**:
Copy the `mbsyncrc` template to an actual config file and configure your IMAP servers.
```bash
cp /home/adipu/AllMail/mail-sync/mbsyncrc.template /home/adipu/AllMail/mail-sync/mbsyncrc
# Edit mbsyncrc
```
3. **Deploy Phase 1**:
After configuring the above files, you can start the system locally to ensure it builds correctly:
```bash
cd /home/adipu/AllMail
docker compose up -d --build
```

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FROM node:20-alpine AS builder
WORKDIR /app
COPY spa/package*.json ./
RUN npm install
COPY spa/ .
RUN npm run build
FROM php:8.2-fpm-alpine
RUN apk add --no-cache nginx wget unzip zip libzip-dev \
&& docker-php-ext-install zip
# Install SnappyMail
WORKDIR /var/www/html/mail
RUN wget -O snappymail.zip https://snappymail.eu/repository/latest.zip && \
unzip snappymail.zip && \
rm snappymail.zip && \
find . -type d -exec chmod 755 {} \; && \
find . -type f -exec chmod 644 {} \; && \
chown -R www-data:www-data /var/www/html/mail
# Copy built SPA
COPY --from=builder /app/dist /var/www/html/spa
RUN chown -R www-data:www-data /var/www/html/spa
# Copy configurations
COPY nginx.conf /etc/nginx/nginx.conf
COPY entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
# Create Nginx run directory
RUN mkdir -p /run/nginx
EXPOSE 80
ENTRYPOINT ["/entrypoint.sh"]

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#!/bin/sh
set -e
# Start PHP-FPM in the background
php-fpm -D
# Start Nginx in the foreground
exec nginx -g "daemon off;"

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worker_processes 1;
events {
worker_connections 1024;
}
http {
include mime.types;
default_type application/octet-stream;
sendfile on;
keepalive_timeout 65;
server {
listen 80;
server_name localhost;
# Serve the React SPA on the root path
location / {
root /var/www/html/spa;
index index.html;
try_files $uri $uri/ /index.html;
}
# Proxy /api requests to the backend container
location /api/ {
proxy_pass http://api:8000/;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
# Serve SnappyMail on /mail
location ^~ /mail/ {
alias /var/www/html/mail/;
index index.php index.html;
# Need a specific regex for PHP files inside alias
location ~ \.php$ {
if (!-f $request_filename) {
return 404;
}
fastcgi_pass 127.0.0.1:9000;
fastcgi_index index.php;
fastcgi_param SCRIPT_FILENAME $request_filename;
include fastcgi_params;
}
# Deny access to SnappyMail data folder
location ^~ /mail/data {
deny all;
}
}
}
}

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# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
dist
dist-ssr
*.local
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?

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# React + Vite
This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
Currently, two official plugins are available:
- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Oxc](https://oxc.rs)
- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/)
## React Compiler
The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation).
## Expanding the ESLint configuration
If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) for information on how to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project.

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import js from '@eslint/js'
import globals from 'globals'
import reactHooks from 'eslint-plugin-react-hooks'
import reactRefresh from 'eslint-plugin-react-refresh'
import { defineConfig, globalIgnores } from 'eslint/config'
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{js,jsx}'],
extends: [
js.configs.recommended,
reactHooks.configs.flat.recommended,
reactRefresh.configs.vite,
],
languageOptions: {
globals: globals.browser,
parserOptions: { ecmaFeatures: { jsx: true } },
},
},
])

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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>spa</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.jsx"></script>
</body>
</html>

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{
"name": "spa",
"private": true,
"version": "0.0.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "vite build",
"lint": "eslint .",
"preview": "vite preview"
},
"dependencies": {
"react": "^19.2.5",
"react-dom": "^19.2.5"
},
"devDependencies": {
"@eslint/js": "^10.0.1",
"@types/react": "^19.2.14",
"@types/react-dom": "^19.2.3",
"@vitejs/plugin-react": "^6.0.1",
"eslint": "^10.2.1",
"eslint-plugin-react-hooks": "^7.1.1",
"eslint-plugin-react-refresh": "^0.5.2",
"globals": "^17.5.0",
"vite": "^8.0.10"
}
}

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119
webmail/spa/src/App.css Normal file
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:root {
--primary-color: #3b82f6;
--bg-color: #f3f4f6;
--text-color: #1f2937;
--card-bg: #ffffff;
}
body {
margin: 0;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, sans-serif;
background-color: var(--bg-color);
color: var(--text-color);
}
.app-container {
max-width: 800px;
margin: 0 auto;
padding: 2rem;
}
.header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 2rem;
}
.header h1 {
margin: 0;
font-size: 1.5rem;
}
.webmail-link {
color: var(--primary-color);
text-decoration: none;
font-weight: 500;
}
.webmail-link:hover {
text-decoration: underline;
}
.search-form {
display: flex;
gap: 0.5rem;
margin-bottom: 2rem;
}
.search-input {
flex-grow: 1;
padding: 0.75rem 1rem;
font-size: 1rem;
border: 1px solid #d1d5db;
border-radius: 0.375rem;
outline: none;
}
.search-input:focus {
border-color: var(--primary-color);
box-shadow: 0 0 0 2px rgba(59, 130, 246, 0.2);
}
.search-button {
padding: 0.75rem 1.5rem;
font-size: 1rem;
background-color: var(--primary-color);
color: white;
border: none;
border-radius: 0.375rem;
cursor: pointer;
transition: background-color 0.2s;
}
.search-button:hover:not(:disabled) {
background-color: #2563eb;
}
.search-button:disabled {
opacity: 0.7;
cursor: not-allowed;
}
.error-message {
color: #ef4444;
margin-bottom: 1rem;
}
.results-container {
display: flex;
flex-direction: column;
gap: 1rem;
}
.result-card {
background-color: var(--card-bg);
padding: 1.5rem;
border-radius: 0.5rem;
box-shadow: 0 1px 3px rgba(0,0,0,0.1);
}
.result-card h3 {
margin: 0 0 0.5rem 0;
font-size: 1.125rem;
}
.result-meta {
display: flex;
gap: 1rem;
font-size: 0.875rem;
color: #6b7280;
margin-bottom: 0.75rem;
}
.result-snippet {
margin: 0;
font-size: 0.95rem;
line-height: 1.5;
white-space: pre-wrap;
}

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webmail/spa/src/App.jsx Normal file
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import { useState } from 'react'
import './App.css'
function App() {
const [query, setQuery] = useState('')
const [results, setResults] = useState([])
const [loading, setLoading] = useState(false)
const [error, setError] = useState(null)
const handleSearch = async (e) => {
e.preventDefault()
if (!query) return
setLoading(true)
setError(null)
try {
const response = await fetch('/api/search', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ query, limit: 10 }),
})
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`)
}
const data = await response.json()
setResults(data)
} catch (err) {
console.error("Search error:", err)
setError("Failed to fetch search results. Check console and network.")
} finally {
setLoading(false)
}
}
return (
<div className="app-container">
<header className="header">
<h1>Unified Email Search</h1>
<a href="/mail/" className="webmail-link">Go to Webmail</a>
</header>
<main>
<form onSubmit={handleSearch} className="search-form">
<input
type="text"
value={query}
onChange={(e) => setQuery(e.target.value)}
placeholder="Search emails via natural language..."
className="search-input"
/>
<button type="submit" disabled={loading} className="search-button">
{loading ? 'Searching...' : 'Search'}
</button>
</form>
{error && <div className="error-message">{error}</div>}
<div className="results-container">
{results.length > 0 ? (
results.map((result, idx) => (
<div key={idx} className="result-card">
<h3>{result.subject || '(No Subject)'}</h3>
<div className="result-meta">
<span><strong>From:</strong> {result.sender}</span>
<span><strong>Date:</strong> {new Date(result.date).toLocaleString()}</span>
<span><strong>Score:</strong> {(1 - result.distance).toFixed(3)}</span>
</div>
<p className="result-snippet">{result.snippet}</p>
</div>
))
) : (
!loading && query && !error && <p>No results found.</p>
)}
</div>
</main>
</div>
)
}
export default App

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111
webmail/spa/src/index.css Normal file
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:root {
--text: #6b6375;
--text-h: #08060d;
--bg: #fff;
--border: #e5e4e7;
--code-bg: #f4f3ec;
--accent: #aa3bff;
--accent-bg: rgba(170, 59, 255, 0.1);
--accent-border: rgba(170, 59, 255, 0.5);
--social-bg: rgba(244, 243, 236, 0.5);
--shadow:
rgba(0, 0, 0, 0.1) 0 10px 15px -3px, rgba(0, 0, 0, 0.05) 0 4px 6px -2px;
--sans: system-ui, 'Segoe UI', Roboto, sans-serif;
--heading: system-ui, 'Segoe UI', Roboto, sans-serif;
--mono: ui-monospace, Consolas, monospace;
font: 18px/145% var(--sans);
letter-spacing: 0.18px;
color-scheme: light dark;
color: var(--text);
background: var(--bg);
font-synthesis: none;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
@media (max-width: 1024px) {
font-size: 16px;
}
}
@media (prefers-color-scheme: dark) {
:root {
--text: #9ca3af;
--text-h: #f3f4f6;
--bg: #16171d;
--border: #2e303a;
--code-bg: #1f2028;
--accent: #c084fc;
--accent-bg: rgba(192, 132, 252, 0.15);
--accent-border: rgba(192, 132, 252, 0.5);
--social-bg: rgba(47, 48, 58, 0.5);
--shadow:
rgba(0, 0, 0, 0.4) 0 10px 15px -3px, rgba(0, 0, 0, 0.25) 0 4px 6px -2px;
}
#social .button-icon {
filter: invert(1) brightness(2);
}
}
body {
margin: 0;
}
#root {
width: 1126px;
max-width: 100%;
margin: 0 auto;
text-align: center;
border-inline: 1px solid var(--border);
min-height: 100svh;
display: flex;
flex-direction: column;
box-sizing: border-box;
}
h1,
h2 {
font-family: var(--heading);
font-weight: 500;
color: var(--text-h);
}
h1 {
font-size: 56px;
letter-spacing: -1.68px;
margin: 32px 0;
@media (max-width: 1024px) {
font-size: 36px;
margin: 20px 0;
}
}
h2 {
font-size: 24px;
line-height: 118%;
letter-spacing: -0.24px;
margin: 0 0 8px;
@media (max-width: 1024px) {
font-size: 20px;
}
}
p {
margin: 0;
}
code,
.counter {
font-family: var(--mono);
display: inline-flex;
border-radius: 4px;
color: var(--text-h);
}
code {
font-size: 15px;
line-height: 135%;
padding: 4px 8px;
background: var(--code-bg);
}

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webmail/spa/src/main.jsx Normal file
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import { StrictMode } from 'react'
import { createRoot } from 'react-dom/client'
import './index.css'
import App from './App.jsx'
createRoot(document.getElementById('root')).render(
<StrictMode>
<App />
</StrictMode>,
)

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import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
// https://vite.dev/config/
export default defineConfig({
plugins: [react()],
})