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# Stage 1: Build Frontend
FROM node:22-alpine as frontend-build
WORKDIR /app/frontend
COPY frontend/package.json frontend/package-lock.json* ./
RUN npm install
COPY frontend/ .
RUN npm run build
# Stage 2: Build Backend and Serve
FROM python:3.12-slim
WORKDIR /app
# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
# Copy build files
COPY pyproject.toml .
COPY README.md .
# Use uv for faster installation (fixed syntax)
RUN uv pip install --system --no-cache .
# Copy backend code
COPY app/ ./app
COPY alembic.ini ./
COPY docker-entrypoint.sh ./
# Make entrypoint executable
RUN chmod +x docker-entrypoint.sh
# Copy built frontend static files
COPY --from=frontend-build /app/frontend/dist /app/static
# Create screenshots directory
RUN mkdir -p screenshots
# Expose port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/')" || exit 1
ENTRYPOINT ["./docker-entrypoint.sh"]
LICENSE
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This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.
README.md
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<p align="center">
<img src="frontend/public/logo.png" alt="Pricecious logo" width="80">
</p>
<h1 align="center">(My) Pricecious</h1>
<p align="center">
Price tracking using A-Eyes 🤦
</p>
> [!WARNING]
> This is 100% vibe-coded.
**Pricecious** is a self-hosted, AI-powered price tracking application. It uses **GenAI Vision Models** (OpenAI, Anthropic, Ollama, etc.) to visually analyze product pages, detect prices, and monitor stock status.
<img width="1186" height="482" alt="SCR-20251120-sdky" src="https://github.com/user-attachments/assets/b9c09142-496e-458e-9a86-9e3d7b1fb7c0" />
## Features
* **AI-Powered Analysis**: Uses GenAI Vision Models to "see" the price and stock status on any webpage, bypassing complex HTML structures.
* **Confidence Scoring**: AI provides confidence scores (0-1) for each extraction, enabling smart business rules and quality monitoring.
* **Robust JSON Parsing**: Hardened parsing pipeline with automatic JSON repair fallback when primary extraction fails.
* **Provider-Specific Optimization**: Leverages native JSON modes and structured output features for OpenAI, Ollama, and other providers.
* **Visual History**: Keeps a screenshot history of every check with full AI metadata (model, provider, confidence, etc.).
* **Smart Scrolling**: Automatically scrolls pages to load lazy-loaded content before capturing.
* **Text Context**: Optionally extracts page text to improve AI accuracy.
* **Notifications**: Supports multi-channel notifications (Discord, Telegram, Email, etc.) via [Apprise](https://github.com/caronc/apprise).
* **Dark Mode**: Beautiful UI with full dark/light mode support.
* **Dockerized**: Easy to deploy with Docker Compose.
## Prerequisites
* **Docker** and **Docker Compose**
* **AI Provider**: An API key for OpenAI, Anthropic, Gemini, OR a local Ollama instance.
* **PostgreSQL**: A database for storing items and history (handled via Docker Compose).
* **Browserless**: A headless browser service for scraping (handled via Docker Compose).
## Quick Start
1. **Create a `docker-compose.yml` file:**
Save the following content to a file named `docker-compose.yml`:
```yaml
services:
app:
image: ghcr.io/ds-sebastian/pricecious:latest
container_name: pricecious-app
ports:
- "8000:8000"
environment:
- DATABASE_URL=postgresql://user:password@db:5432/pricewatch
- BROWSERLESS_URL=ws://browserless:3000
depends_on:
- db
- browserless
extra_hosts:
- "host.docker.internal:host-gateway"
volumes:
- screenshots_data:/app/screenshots
db:
image: postgres:15-alpine
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: password
POSTGRES_DB: pricewatch
volumes:
- postgres_data:/var/lib/postgresql/data
browserless:
image: browserless/chrome:latest
ports:
- "3000:3000"
environment:
- MAX_CONCURRENT_SESSIONS=10
volumes:
postgres_data:
screenshots_data:
```
2. **Start the Application:**
Run the following command in the same directory:
```bash
docker compose up -d
```
3. **Access the Dashboard:**
Open your browser and navigate to `http://localhost:8000`.
## Configuration
### Environment Variables
The following environment variables can be configured in your `docker-compose.yml`:
| Variable | Description | Default | Example |
| :--- | :--- | :--- | :--- |
| `DATABASE_URL` | PostgreSQL connection string | `postgresql://user:password@db:5432/pricewatch` | `postgresql://u:p@localhost:5432/db` |
| `BROWSERLESS_URL` | WebSocket URL for Browserless | `ws://browserless:3000` | `ws://browserless:3000` |
| `LOG_LEVEL` | Application logging level | `INFO` | `DEBUG` |
| `SQL_ECHO` | Log all SQL queries to console | `false` | `true` |
| `CORS_ORIGINS` | Allowed CORS origins (comma-separated) | `*` | `http://localhost:3000,https://myapp.com` |
> [!TIP]
> LiteLLM environment variables should work too to prepopulate AI model default settings
### Scraper Settings
All scraper settings are configured via the **Settings** page in the UI:
* **Smart Scroll**: Enable to handle infinite scroll pages.
* **Text Context**: Enable to send page text to the AI for better accuracy.
* **Scraper Timeout**: Maximum time to wait for page load.
### AI Configuration
All AI settings are configured via the **Settings** page in the UI. No environment variables are required.
**Provider Settings**:
* **Provider**: Choose between OpenAI, Anthropic, Gemini, Ollama, or Custom.
* **Model**: Specify the model name (e.g., `gpt-4o`, `claude-3-5-sonnet`, `gemma3:4b`).
* **API Key**: Enter your API key (not required for Ollama).
* **Base URL**: Required for Ollama or custom OpenAI-compatible endpoints.
**Advanced AI Settings**:
* **Temperature**: Controls output randomness (0.0-1.0).
* **Max Tokens**: Maximum tokens for AI responses.
* **Price/Stock Confidence Thresholds**: Minimum confidence required to update values.
* **Enable JSON Repair**: Automatically attempt to repair malformed JSON responses.
**How Confidence Works**:
- The AI provides a confidence score (0.0 to 1.0) for each extracted value
- Scores represent the AI's subjective probability that the extraction is correct
- If confidence is below the threshold, the value is logged but doesn't overwrite the current value
- Large price changes (>20%) with low confidence (<0.7) are flagged for manual review
- All extractions are saved in history with their confidence scores for analysis
### Notifications
Create **Notification Profiles** in the Settings page using Apprise URLs.
* Example Discord: `discord://webhook_id/webhook_token`
* Example Telegram: `tgram://bot_token/chat_id`
## License
This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.
alembic.ini
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# A generic, single database configuration.
[alembic]
# path to migration scripts
script_location = app/alembic
# template used to generate migration file
# file_template = %%(rev)s_%%(slug)s
# sys.path path, will be prepended to sys.path if present.
# defaults to the current working directory.
prepend_sys_path = .
# timezone to use when rendering the date within the migration file
# as well as the filename.
# If consistent_date_and_time is True, the timezone is set to UTC.
# timezone =
# max_length = 20
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version_locations = %(here)s/bar:%(here)s/bat:app/alembic/versions
# version_path_separator = :
# set to 'true' to search for and load revisions in the
# order of their 'depends_on' configuration
# recursive_version_locations = false
# the output encoding used when revision files
# are written from script.py.mako
# output_encoding = utf-8
sqlalchemy.url = driver://user:pass@localhost/dbname
[post_write_hooks]
# post_write_hooks defines scripts or RFE hooks that run
# after a new revision script is written.
# hooks = black
# black.type = console_scripts
# black.entrypoint = black
# black.options = -l 79 REVISION_SCRIPT_FILENAME
[tool:pytest]
# A list of file name patterns to identify test files.
# testpaths = tests
[mypy]
# mypy configuration
# ignore_missing_imports = True
# Logging configuration
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARN
handlers = console
qualname =
[logger_sqlalchemy]
level = WARN
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S
app/__init__.py
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Whitespace-only changes.
app/ai_schema.py
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"""
Unified JSON schema for AI extraction responses.
This module defines the canonical schema for all AI model responses,
including confidence scores and metadata tracking.
"""
import re
from typing import Literal
from pydantic import BaseModel, Field, field_validator
from app.utils.text import filter_relevant_text
# Schema version for tracking prompt/schema changes
PROMPT_VERSION = "v2.0"
# Default confidence thresholds
DEFAULT_PRICE_CONFIDENCE_THRESHOLD = 0.5
DEFAULT_STOCK_CONFIDENCE_THRESHOLD = 0.5
DEFAULT_MULTI_SAMPLE_THRESHOLD = 0.6
# Text filtering constants
MIN_SNIPPET_LENGTH = 10
SNIPPET_MERGE_DISTANCE = 50
SNIPPET_CONTEXT_WINDOW = 100
class AIExtractionResponse(BaseModel):
"""
Canonical schema for AI extraction responses.
All AI models must return data matching this schema.
"""
price: float | None = Field(
None,
description="Extracted price as a number, or null if no price found",
)
currency: str = Field(
"USD",
description="Currency code (ISO 4217)",
)
in_stock: bool | None = Field(
None,
description="Stock status: true if in stock, false if out of stock, null if unclear",
)
price_confidence: float = Field(
0.0,
ge=0.0,
le=1.0,
description="Confidence in price extraction (0.0 to 1.0)",
)
in_stock_confidence: float = Field(
0.0,
ge=0.0,
le=1.0,
description="Confidence in stock status extraction (0.0 to 1.0)",
)
source_type: Literal["image", "text", "both"] = Field(
"image",
description="Source of extraction: image, text, or both",
)
@field_validator("price_confidence", "in_stock_confidence", mode="before")
@classmethod
def clamp_confidence(cls, v):
"""Clamp confidence values to [0.0, 1.0] range."""
if v is None:
return 0.0
return max(0.0, min(1.0, float(v)))
@field_validator("price", mode="before")
@classmethod
def normalize_price(cls, v):
"""Normalize price to float or None."""
if v is None or v in ("null", ""):
return None
if isinstance(v, str):
# Remove currency symbols and commas
cleaned = re.sub(r"[^\d.]", "", v)
if cleaned:
return float(cleaned)
return None
return float(v)
@field_validator("in_stock", mode="before")
@classmethod
def normalize_stock(cls, v):
"""Normalize stock status to boolean or None."""
if v is None or v == "null":
return None
if isinstance(v, str):
v_lower = v.lower().strip()
if v_lower in ("true", "yes", "in stock", "available", "1"):
return True
if v_lower in ("false", "no", "out of stock", "unavailable", "0"):
return False
return None
return bool(v)
class AIExtractionMetadata(BaseModel):
"""
Metadata about an AI extraction operation.
Tracks which model was used, whether repair was needed, etc.
"""
model_name: str = Field(..., description="AI model identifier (e.g., 'gpt-4o')")
provider: str = Field(..., description="AI provider (e.g., 'openai', 'ollama')")
prompt_version: str = Field(PROMPT_VERSION, description="Version of the extraction prompt used")
repair_used: bool = Field(False, description="Whether JSON repair fallback was used")
multi_sample: bool = Field(False, description="Whether multi-sample validation was used")
sample_count: int = Field(1, description="Number of samples generated (for multi-sample)")
# Prompt template for schema-first extraction
EXTRACTION_PROMPT_TEMPLATE = """Extract product price and stock status from the image.
**PRICE:**
- Find the main current price
- Ignore crossed-out prices
- Extract number only (no symbols)
- If unclear: set null and confidence < 0.5
**STOCK:**
- TRUE if: "Add to Cart", "Buy Now", "In Stock", "Available"
- FALSE if: "Out of Stock", "Sold Out", "Unavailable", "Notify Me"
- NULL if unclear or not shown
**CONFIDENCE (0.0 to 1.0):**
- 0.9-1.0: Very certain
- 0.5-0.8: Moderately certain
- Below 0.5: Unsure
Respond ONLY with valid JSON:
{{
"price": <number or null>,
"currency": "USD",
"in_stock": <true, false, or null>,
"price_confidence": <0.0 to 1.0>,
"in_stock_confidence": <0.0 to 1.0>,
"source_type": "both"
}}
{context_section}"""
# Repair prompt template
REPAIR_PROMPT_TEMPLATE = """Convert the following text into valid JSON matching this schema:
{{
"price": <number or null>,
"currency": "<ISO currency code, default USD>",
"in_stock": <true, false, or null>,
"price_confidence": <number from 0.0 to 1.0>,
"in_stock_confidence": <number from 0.0 to 1.0>,
"source_type": "<image, text, or both>"
}}
Rules:
- Extract numeric price value only (no symbols)
- Boolean values must be true, false, or null (not strings)
- Confidence values must be numbers between 0.0 and 1.0
- Respond with ONLY the JSON object, no other text
Text to convert:
{raw_output}"""
def get_extraction_prompt(page_text: str | None = None) -> str:
"""
Generate the extraction prompt with optional text context.
Args:
page_text: Optional webpage text to include as context
Returns:
Formatted prompt string
"""
if page_text:
# Apply smart filtering to extract only relevant snippets
filtered_text = filter_relevant_text(page_text, max_length=1500)
context_section = f"""**Relevant text from page:**
{filtered_text}"""
else:
context_section = ""
return EXTRACTION_PROMPT_TEMPLATE.format(context_section=context_section)
def get_repair_prompt(raw_output: str) -> str:
"""
Generate the repair prompt for fixing invalid JSON.
Args:
raw_output: Raw AI output that failed parsing
Returns:
Formatted repair prompt
"""
return REPAIR_PROMPT_TEMPLATE.format(raw_output=raw_output[:1000])
app/alembic/env.py
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from logging.config import fileConfig
from sqlalchemy import engine_from_config, pool
from alembic import context
from app.database import DATABASE_URL
from app.models import Base
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
if config.config_file_name is not None:
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
target_metadata = Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = DATABASE_URL
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
configuration = config.get_section(config.config_ini_section)
configuration["sqlalchemy.url"] = DATABASE_URL
connectable = engine_from_config(
configuration,
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(connection=connection, target_metadata=target_metadata)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()
app/alembic/script.py.mako
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"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers, used by Alembic.
revision: str = ${repr(up_revision)}
down_revision: Union[str, None] = ${repr(down_revision)}
branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
def upgrade() -> None:
${upgrades if upgrades else "pass"}
def downgrade() -> None:
${downgrades if downgrades else "pass"}
app/alembic/versions/6ecb6f39fd8c_add_refresh_fields.py
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"""Add refresh fields
Revision ID: 6ecb6f39fd8c
Revises: initial_migration
Create Date: 2025-11-19 12:53:09.412700
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
from app.models import Base
target_metadata = Base.metadata
# revision identifiers, used by Alembic.
revision: str = "6ecb6f39fd8c"
down_revision: str | None = "initial_migration"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column("items", sa.Column("is_refreshing", sa.Boolean(), nullable=True))
op.add_column("items", sa.Column("last_error", sa.String(), nullable=True))
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_column("items", "last_error")
op.drop_column("items", "is_refreshing")
# ### end Alembic commands ###
app/alembic/versions/7f8e9d2a1b3c_add_performance_indexes.py
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"""add_performance_indexes
Revision ID: 7f8e9d2a1b3c
Revises: a1b2c3d4e5f6
Create Date: 2025-11-19 19:14:00.000000
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "7f8e9d2a1b3c"
down_revision = "a1b2c3d4e5f6"
branch_labels = None
depends_on = None
def upgrade():
# Add indexes for performance optimization
# Items table indexes
op.create_index("ix_items_last_checked", "items", ["last_checked"])
op.create_index("ix_items_is_active", "items", ["is_active"])
# Note: url already has an index from the model definition
# Composite index for common query pattern (active items due for refresh)
op.create_index("ix_items_active_last_checked", "items", ["is_active", "last_checked"])
# Price history indexes for time-series queries
op.create_index("ix_price_history_timestamp", "price_history", ["timestamp"])
op.create_index("ix_price_history_item_timestamp", "price_history", ["item_id", "timestamp"])
def downgrade():
# Remove indexes in reverse order
op.drop_index("ix_price_history_item_timestamp", table_name="price_history")
op.drop_index("ix_price_history_timestamp", table_name="price_history")
op.drop_index("ix_items_active_last_checked", table_name="items")
op.drop_index("ix_items_is_active", table_name="items")
op.drop_index("ix_items_last_checked", table_name="items")
app/alembic/versions/a1b2c3d4e5f6_add_confidence_metadata.py
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"""Add confidence and AI metadata
Revision ID: a1b2c3d4e5f6
Revises: 6ecb6f39fd8c
Create Date: 2025-11-19 13:55:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
from app.models import Base
target_metadata = Base.metadata
# revision identifiers, used by Alembic.
revision: str = "a1b2c3d4e5f6"
down_revision: str | None = "6ecb6f39fd8c"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
"""Add confidence scores and AI metadata to price_history and items tables."""
# Add columns to price_history table
op.add_column("price_history", sa.Column("price_confidence", sa.Float(), nullable=True))
op.add_column("price_history", sa.Column("in_stock_confidence", sa.Float(), nullable=True))
op.add_column("price_history", sa.Column("ai_model", sa.String(), nullable=True))
op.add_column("price_history", sa.Column("ai_provider", sa.String(), nullable=True))
op.add_column("price_history", sa.Column("prompt_version", sa.String(), nullable=True))
op.add_column("price_history", sa.Column("repair_used", sa.Boolean(), nullable=True, server_default="false"))
# Add columns to items table for quick access to latest confidence
op.add_column("items", sa.Column("current_price_confidence", sa.Float(), nullable=True))
op.add_column("items", sa.Column("in_stock_confidence", sa.Float(), nullable=True))
def downgrade() -> None:
"""Remove confidence scores and AI metadata columns."""
# Remove columns from items table
op.drop_column("items", "in_stock_confidence")
op.drop_column("items", "current_price_confidence")
# Remove columns from price_history table
op.drop_column("price_history", "repair_used")
op.drop_column("price_history", "prompt_version")
op.drop_column("price_history", "ai_provider")
op.drop_column("price_history", "ai_model")
op.drop_column("price_history", "in_stock_confidence")
op.drop_column("price_history", "price_confidence")
app/alembic/versions/initial_migration.py
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"""Initial migration
Revision ID: initial_migration
Revises:
Create Date: 2023-11-19 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "initial_migration"
down_revision: str | None = None
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
# We are assuming the database is already created by the previous code
# But for a fresh install, we need to create tables.
# However, since we are retrofitting, we should use --autogenerate usually.
# But I cannot run that easily.
# So I will define the tables here to be safe.
# Check if tables exist before creating to avoid errors on existing DBs
# Actually, standard alembic practice is to define them.
# But since we had `Base.metadata.create_all`, tables might exist.
# Ideally we would use `alembic stamp head` on existing deployments.
# For now, I will leave this empty and assume the user will run
# `alembic revision --autogenerate` if they want to capture the state,
# or I should try to capture it.
# Given I can't run the DB, I'll leave it as a placeholder or try to define it.
# Let's define it properly so new installs work.
# ... actually, writing all create_table calls manually is error prone without running it.
# I will rely on the fact that I removed `create_all` from main.py, so this MUST do it.
op.create_table(
"notification_profiles",
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("name", sa.String(), nullable=True),
sa.Column("apprise_url", sa.String(), nullable=True),
sa.Column("notify_on_price_drop", sa.Boolean(), nullable=True),
sa.Column("notify_on_target_price", sa.Boolean(), nullable=True),
sa.Column("price_drop_threshold_percent", sa.Float(), nullable=True),
sa.Column("notify_on_stock_change", sa.Boolean(), nullable=True),
sa.Column("check_interval_minutes", sa.Integer(), nullable=True),
sa.PrimaryKeyConstraint("id"),
)
op.create_index(op.f("ix_notification_profiles_id"), "notification_profiles", ["id"], unique=False)
op.create_index(op.f("ix_notification_profiles_name"), "notification_profiles", ["name"], unique=True)
op.create_table(
"items",
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("url", sa.String(), nullable=True),
sa.Column("name", sa.String(), nullable=True),
sa.Column("selector", sa.String(), nullable=True),
sa.Column("target_price", sa.Float(), nullable=True),
sa.Column("check_interval_minutes", sa.Integer(), nullable=True),
sa.Column("current_price", sa.Float(), nullable=True),
sa.Column("in_stock", sa.Boolean(), nullable=True),
sa.Column("tags", sa.String(), nullable=True),
sa.Column("description", sa.String(), nullable=True),
sa.Column("is_active", sa.Boolean(), nullable=True),
sa.Column("last_checked", sa.DateTime(), nullable=True),
sa.Column("notification_profile_id", sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(
["notification_profile_id"],
["notification_profiles.id"],
),
sa.PrimaryKeyConstraint("id"),
)
op.create_index(op.f("ix_items_id"), "items", ["id"], unique=False)
op.create_index(op.f("ix_items_url"), "items", ["url"], unique=False)
op.create_table(
"price_history",
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("item_id", sa.Integer(), nullable=True),
sa.Column("price", sa.Float(), nullable=True),
sa.Column("timestamp", sa.DateTime(), nullable=True),
sa.Column("screenshot_path", sa.String(), nullable=True),
sa.ForeignKeyConstraint(
["item_id"],
["items.id"],
),
sa.PrimaryKeyConstraint("id"),
)
op.create_index(op.f("ix_price_history_id"), "price_history", ["id"], unique=False)
op.create_table(
"settings",
sa.Column("key", sa.String(), nullable=False),
sa.Column("value", sa.Text(), nullable=True),
sa.PrimaryKeyConstraint("key"),
)
op.create_index(op.f("ix_settings_key"), "settings", ["key"], unique=False)
def downgrade() -> None:
op.drop_index(op.f("ix_settings_key"), table_name="settings")
op.drop_table("settings")
op.drop_index(op.f("ix_price_history_id"), table_name="price_history")
op.drop_table("price_history")
op.drop_index(op.f("ix_items_url"), table_name="items")
op.drop_index(op.f("ix_items_id"), table_name="items")
op.drop_table("items")
op.drop_index(op.f("ix_notification_profiles_name"), table_name="notification_profiles")
op.drop_index(op.f("ix_notification_profiles_id"), table_name="notification_profiles")
op.drop_table("notification_profiles")
app/alembic/versions/performance_indexes_v2.py
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"""Add performance indexes
Revision ID: performance_indexes_v2
Revises: 7f8e9d2a1b3c
Create Date: 2025-11-19
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "performance_indexes_v2"
down_revision = "7f8e9d2a1b3c"
branch_labels = None
depends_on = None
def upgrade():
# Add indexes only if they don't exist
# Using raw SQL with IF NOT EXISTS for safety
op.execute(
"""
CREATE INDEX IF NOT EXISTS ix_price_history_timestamp
ON price_history (timestamp)
"""
)
op.execute(
"""
CREATE INDEX IF NOT EXISTS ix_price_history_item_timestamp
ON price_history (item_id, timestamp)
"""
)
op.execute(
"""
CREATE INDEX IF NOT EXISTS ix_items_is_active
ON items (is_active)
"""
)
def downgrade():
op.drop_index("ix_items_is_active", table_name="items", if_exists=True)
op.drop_index("ix_price_history_item_timestamp", table_name="price_history", if_exists=True)
op.drop_index("ix_price_history_timestamp", table_name="price_history", if_exists=True)
app/database.py
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import logging
import os
from sqlalchemy import create_engine, event
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.pool import QueuePool
logger = logging.getLogger(__name__)
# Remove hardcoded credentials - require environment variable
DATABASE_URL = os.getenv("DATABASE_URL")
if not DATABASE_URL:
raise ValueError(
"DATABASE_URL environment variable is required. Example: postgresql://user:password@localhost:5432/pricewatch"
)
# Connection pool configuration
# pool_size: number of connections to maintain
# max_overflow: max number of connections above pool_size
# pool_pre_ping: verify connections before using (prevents stale connections)
# pool_recycle: recycle connections after N seconds (prevents timeout issues)
engine = create_engine(
DATABASE_URL,
poolclass=QueuePool,
pool_size=5,
max_overflow=10,
pool_pre_ping=True,
pool_recycle=3600, # 1 hour
echo=os.getenv("SQL_ECHO", "false").lower() == "true",
)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()
# Log database connection events for debugging
@event.listens_for(engine, "connect")
def receive_connect(dbapi_conn, connection_record):
logger.debug("Database connection established")
@event.listens_for(engine, "close")
def receive_close(dbapi_conn, connection_record):
logger.debug("Database connection closed")
def get_db():
db = SessionLocal()
try:
yield db
except Exception:
db.rollback()
raise
finally:
db.close()
app/limiter.py
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from slowapi import Limiter
from slowapi.util import get_remote_address
limiter = Limiter(key_func=get_remote_address)
app/main.py
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import logging
import os
from contextlib import asynccontextmanager
from apscheduler.triggers.interval import IntervalTrigger
from fastapi import FastAPI, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse
from fastapi.staticfiles import StaticFiles
from slowapi import _rate_limit_exceeded_handler
from slowapi.errors import RateLimitExceeded
from app.limiter import limiter
from app.routers import items, jobs, notifications, settings
from app.services.scheduler_service import scheduled_refresh, scheduler
# Configure logging
logging.basicConfig(
level=os.getenv("LOG_LEVEL", "INFO").upper(),
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
)
logger = logging.getLogger(__name__)
@asynccontextmanager
async def lifespan(app: FastAPI):
logger.info("Starting smart scheduler (Heartbeat: 1 minute)")
scheduler.add_job(scheduled_refresh, IntervalTrigger(minutes=1), id="refresh_job", replace_existing=True)
scheduler.start()
logger.info("Application started")
yield
logger.info("Shutting down scheduler...")
scheduler.shutdown(wait=True)
logger.info("Application shutdown complete")
app = FastAPI(title="Pricecious API", version="0.1.0", lifespan=lifespan)
# Rate Limiting & CORS
app.state.limiter = limiter
app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler) # type: ignore
app.add_middleware(
CORSMiddleware,
allow_origins=os.getenv("CORS_ORIGINS", "*").split(","),
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.middleware("http")
async def log_requests(request: Request, call_next):
logger.debug(f"Request: {request.method} {request.url}")
response = await call_next(request)
logger.debug(f"Response: {response.status_code}")
return response
# Static Files
if os.path.exists("static"):
app.mount("/assets", StaticFiles(directory="static/assets"), name="assets")
os.makedirs("screenshots", exist_ok=True)
app.mount("/screenshots", StaticFiles(directory="screenshots"), name="screenshots")
# Routers
for router in [notifications.router, items.router, settings.router, jobs.router]:
app.include_router(router, prefix="/api")
@app.get("/api/")
def read_root():
return {"message": "Welcome to Pricecious API"}
# Frontend Serving
@app.get("/{full_path:path}")
async def serve_spa(full_path: str):
if full_path.startswith(("api", "screenshots", "assets")):
return {"message": "Not found"}
# Serve static files from root (favicon, logo, etc.)
static_file_path = f"static/{full_path}"
if os.path.isfile(static_file_path):
return FileResponse(static_file_path)
# Default to SPA index.html
if os.path.exists("static/index.html"):
return FileResponse("static/index.html")
return {"message": "Frontend not built or not found"}
app/models.py
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from datetime import UTC, datetime
from sqlalchemy import Boolean, Column, DateTime, Float, ForeignKey, Integer, String, Text
from sqlalchemy.orm import relationship
from .database import Base
class NotificationProfile(Base):
__tablename__ = "notification_profiles"
id = Column(Integer, primary_key=True, index=True)
name = Column(String, unique=True, index=True)
apprise_url = Column(String)
notify_on_price_drop = Column(Boolean, default=True)
notify_on_target_price = Column(Boolean, default=True)
price_drop_threshold_percent = Column(Float, default=10.0)
notify_on_stock_change = Column(Boolean, default=True)
check_interval_minutes = Column(Integer, default=60)
items = relationship("Item", back_populates="notification_profile")
class Item(Base):
__tablename__ = "items"
id: int = Column(Integer, primary_key=True, index=True) # type: ignore
url: str = Column(String, index=True) # type: ignore
name: str = Column(String) # type: ignore
selector: str | None = Column(String, nullable=True) # type: ignore
target_price: float | None = Column(Float, nullable=True) # type: ignore
check_interval_minutes: int = Column(Integer, default=60) # type: ignore
# New fields
current_price: float | None = Column(Float, nullable=True) # type: ignore
in_stock: bool | None = Column(Boolean, nullable=True) # type: ignore
tags: str | None = Column(String, nullable=True) # type: ignore
description: str | None = Column(String, nullable=True) # type: ignore
# Confidence scores for latest extraction
current_price_confidence: float | None = Column(Float, nullable=True) # type: ignore
in_stock_confidence: float | None = Column(Float, nullable=True) # type: ignore
is_active: bool = Column(Boolean, default=True) # type: ignore
last_checked: datetime | None = Column(DateTime, nullable=True) # type: ignore
is_refreshing: bool = Column(Boolean, default=False) # type: ignore
last_error: str | None = Column(String, nullable=True) # type: ignore
notification_profile_id: int | None = Column(Integer, ForeignKey("notification_profiles.id"), nullable=True) # type: ignore
notification_profile = relationship("NotificationProfile", back_populates="items")
price_history = relationship("PriceHistory", back_populates="item", cascade="all, delete-orphan")
class PriceHistory(Base):
__tablename__ = "price_history"
id: int = Column(Integer, primary_key=True, index=True) # type: ignore
item_id: int = Column(Integer, ForeignKey("items.id")) # type: ignore
price: float = Column(Float) # type: ignore
timestamp: datetime = Column(DateTime, default=lambda: datetime.now(UTC)) # type: ignore
screenshot_path: str | None = Column(String, nullable=True) # type: ignore
# Confidence scores and AI metadata
price_confidence: float | None = Column(Float, nullable=True) # type: ignore
in_stock_confidence: float | None = Column(Float, nullable=True) # type: ignore
ai_model: str | None = Column(String, nullable=True) # type: ignore
ai_provider: str | None = Column(String, nullable=True) # type: ignore
prompt_version: str | None = Column(String, nullable=True) # type: ignore
repair_used: bool | None = Column(Boolean, nullable=True, default=False) # type: ignore
item = relationship("Item", back_populates="price_history")
class Settings(Base):
__tablename__ = "settings"
key = Column(String, primary_key=True, index=True)
value = Column(Text)
app/notification_sender.py
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import asyncio
import logging
import apprise
logger = logging.getLogger(__name__)
def _send_sync(urls: list, title: str, body: str):
"""
Synchronous notification sending.
"""
if not urls:
return
apobj = apprise.Apprise()
for url in urls:
apobj.add(url)
try:
apobj.notify(
body=body,
title=title,
)
logger.info(f"Notification sent: {title}")
except Exception as e:
logger.error(f"Error sending notification: {e}")
async def send_notification(urls: list, title: str, body: str):
"""
Async wrapper for sending notifications.
"""
loop = asyncio.get_running_loop()
await loop.run_in_executor(None, _send_sync, urls, title, body)
app/routers/items.py
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from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Request
from sqlalchemy.orm import Session
from app import database, schemas
from app.limiter import limiter
from app.services.item_service import ItemService
from app.services.scheduler_service import process_item_check
router = APIRouter(prefix="/items", tags=["items"])
@router.get("", response_model=list[schemas.ItemResponse])
def get_items(db: Session = Depends(database.get_db)):
return ItemService.get_items(db)
@router.post("", response_model=schemas.ItemResponse)
def create_item(item: schemas.ItemCreate, db: Session = Depends(database.get_db)):
return ItemService.create_item(db, item)
@router.put("/{item_id}", response_model=schemas.ItemResponse)
def update_item(item_id: int, item_update: schemas.ItemCreate, db: Session = Depends(database.get_db)):
return ItemService.update_item(db, item_id, item_update)
@router.delete("/{item_id}")
def delete_item(item_id: int, db: Session = Depends(database.get_db)):
return ItemService.delete_item(db, item_id)
@router.post("/{item_id}/check")
@limiter.limit("10/minute")
def check_item(
request: Request, item_id: int, background_tasks: BackgroundTasks, db: Session = Depends(database.get_db)
):
item = ItemService.get_item(db, item_id)
if not item:
raise HTTPException(status_code=404, detail="Item not found")
item.is_refreshing = True
item.last_error = None
db.commit()
background_tasks.add_task(process_item_check, item_id)
return {"message": "Check triggered"}
app/routers/jobs.py
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from apscheduler.triggers.interval import IntervalTrigger
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Request
from sqlalchemy.orm import Session
from app import database, models, schemas
from app.limiter import limiter
from app.services.scheduler_service import process_item_check, scheduled_refresh, scheduler
from app.services.settings_service import SettingsService
router = APIRouter(prefix="/jobs", tags=["jobs"])
@router.get("/config")
def get_job_config(db: Session = Depends(database.get_db)):
interval = int(SettingsService.get_setting_value(db, "refresh_interval_minutes", "60"))
next_run = None
job = scheduler.get_job("refresh_job")
if job:
next_run = job.next_run_time
return {"refresh_interval_minutes": interval, "next_run": next_run, "running": scheduler.running}
@router.post("/config")
def update_job_config(config: schemas.SettingsUpdate, db: Session = Depends(database.get_db)):
if config.key != "refresh_interval_minutes":
raise HTTPException(status_code=400, detail="Invalid setting key for job config")
try:
interval = int(config.value)
if interval < 1:
raise ValueError("Interval must be at least 1 minute")
except ValueError as e:
raise HTTPException(status_code=400, detail="Invalid interval value") from e
SettingsService.update_setting(db, config)
try:
scheduler.reschedule_job("refresh_job", trigger=IntervalTrigger(minutes=interval))
except Exception:
scheduler.add_job(scheduled_refresh, IntervalTrigger(minutes=interval), id="refresh_job", replace_existing=True)
return {"message": "Job configuration updated", "refresh_interval_minutes": interval}
@router.post("/refresh-all")
@limiter.limit("5/minute")
def refresh_all_items(request: Request, background_tasks: BackgroundTasks, db: Session = Depends(database.get_db)):
items = db.query(models.Item).filter(models.Item.is_active).all()
# Mark all items as refreshing immediately so UI updates persist
for item in items:
item.is_refreshing = True
db.commit()
for item in items:
if item.id is not None:
background_tasks.add_task(process_item_check, int(item.id))
return {"message": f"Triggered refresh for {len(items)} items"}
app/routers/notifications.py
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from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from app import database, schemas
from app.services.notification_service import NotificationService
router = APIRouter(prefix="/notification-profiles", tags=["notifications"])
@router.get("", response_model=list[schemas.NotificationProfileResponse])
def get_notification_profiles(db: Session = Depends(database.get_db)):
return NotificationService.get_notification_profiles(db)
@router.post("", response_model=schemas.NotificationProfileResponse)
def create_notification_profile(profile: schemas.NotificationProfileCreate, db: Session = Depends(database.get_db)):
return NotificationService.create_notification_profile(db, profile)
@router.delete("/{profile_id}")
def delete_notification_profile(profile_id: int, db: Session = Depends(database.get_db)):
return NotificationService.delete_notification_profile(db, profile_id)
@router.put("/{profile_id}", response_model=schemas.NotificationProfileResponse)
def update_notification_profile(
profile_id: int, profile: schemas.NotificationProfileUpdate, db: Session = Depends(database.get_db)
):
return NotificationService.update_notification_profile(db, profile_id, profile)
app/routers/settings.py
+17
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from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from app import database, schemas
from app.services.settings_service import SettingsService
router = APIRouter(prefix="/settings", tags=["settings"])
@router.get("")
def get_settings(db: Session = Depends(database.get_db)):
return SettingsService.get_settings(db)
@router.post("", response_model=schemas.SettingsUpdate)
def update_setting(setting: schemas.SettingsUpdate, db: Session = Depends(database.get_db)):
return SettingsService.update_setting(db, setting)
app/schemas.py
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from datetime import datetime
from pydantic import BaseModel, ConfigDict
class NotificationProfileCreate(BaseModel):
name: str
apprise_url: str
notify_on_price_drop: bool = True
notify_on_target_price: bool = True
price_drop_threshold_percent: float = 10.0
notify_on_stock_change: bool = True
check_interval_minutes: int = 60
class NotificationProfileUpdate(NotificationProfileCreate):
pass
class NotificationProfileResponse(NotificationProfileCreate):
id: int
model_config = ConfigDict(from_attributes=True)
class ItemCreate(BaseModel):
url: str
name: str
selector: str | None = None
target_price: float | None = None
check_interval_minutes: int = 60
tags: str | None = None
description: str | None = None
notification_profile_id: int | None = None
class ItemResponse(ItemCreate):
id: int
current_price: float | None
in_stock: bool | None
current_price_confidence: float | None = None
in_stock_confidence: float | None = None
is_active: bool
last_checked: datetime | None
is_refreshing: bool = False
last_error: str | None = None
screenshot_url: str | None = None
model_config = ConfigDict(from_attributes=True)
class SettingsUpdate(BaseModel):
key: str
value: str
app/services/ai_service.py
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import asyncio
import json
import logging
import re
import time
from typing import Any, TypedDict
from litellm import acompletion
from pydantic import ValidationError
from tenacity import retry, retry_if_exception_type, stop_after_attempt, wait_exponential
from app import models
from app.ai_schema import (
PROMPT_VERSION,
AIExtractionMetadata,
AIExtractionResponse,
get_extraction_prompt,
get_repair_prompt,
)
from app.database import SessionLocal
from app.utils.image import encode_image
from app.utils.text import clean_text
# Default configuration (can be overridden by DB settings)
DEFAULT_PROVIDER = "ollama"
DEFAULT_MODEL = "gemma3:4b"
DEFAULT_API_BASE = "http://ollama:11434"
DEFAULT_TEMPERATURE = 0.1
DEFAULT_MAX_TOKENS = 300
DEFAULT_TIMEOUT = 30 # seconds
MAX_TEXT_LENGTH = 5000 # Will be filtered to ~1500-2000 relevant chars
# Config caching
_config_cache: dict[str, Any] = {"data": None, "timestamp": 0.0}
CONFIG_CACHE_TTL = 60 # seconds
logger = logging.getLogger(__name__)
class AIConfig(TypedDict):
provider: str
model: str
api_key: str
api_base: str
temperature: float
max_tokens: int
timeout: int
enable_json_repair: bool
enable_multi_sample: bool
multi_sample_threshold: float
MIN_API_KEY_LENGTH = 12
def _sanitize_api_key(key: str) -> str:
"""Redact API key for logging (show first/last 4 chars only)."""
if not key or len(key) < MIN_API_KEY_LENGTH:
return "***"
return f"{key[:4]}...{key[-4:]}"
class AIService:
@staticmethod
def get_ai_config() -> AIConfig:
"""
Fetches AI configuration from the database with caching.
Returns a dict with: provider, model, api_key, api_base, temperature, max_tokens, timeout
"""
# Check cache
now = time.time()
if _config_cache["data"] and (now - _config_cache["timestamp"]) < CONFIG_CACHE_TTL:
return _config_cache["data"] # type: ignore
# Fetch from DB
session = SessionLocal()
try:
settings = session.query(models.Settings).all()
settings_map = {s.key: s.value for s in settings}
config: AIConfig = {
"provider": settings_map.get("ai_provider", DEFAULT_PROVIDER),
"model": settings_map.get("ai_model", DEFAULT_MODEL),
"api_key": settings_map.get("ai_api_key", ""),
"api_base": settings_map.get("ai_api_base", DEFAULT_API_BASE),
"temperature": float(settings_map.get("ai_temperature", str(DEFAULT_TEMPERATURE))),
"max_tokens": int(settings_map.get("ai_max_tokens", str(DEFAULT_MAX_TOKENS))),
"timeout": int(settings_map.get("ai_timeout", str(DEFAULT_TIMEOUT))),
"enable_json_repair": settings_map.get("enable_json_repair", "true").lower() == "true",
"enable_multi_sample": settings_map.get("enable_multi_sample", "false").lower() == "true",
"multi_sample_threshold": float(settings_map.get("multi_sample_confidence_threshold", "0.6")),
}
# Update cache
_config_cache["data"] = config # type: ignore
_config_cache["timestamp"] = now
return config
except Exception as e:
logger.error(f"Error fetching AI config: {e}")
return {
"provider": DEFAULT_PROVIDER,
"model": DEFAULT_MODEL,
"api_key": "",
"api_base": DEFAULT_API_BASE,
"temperature": DEFAULT_TEMPERATURE,
"max_tokens": DEFAULT_MAX_TOKENS,
"timeout": DEFAULT_TIMEOUT,
"enable_json_repair": True,
"enable_multi_sample": False,
"multi_sample_threshold": 0.6,
}
finally:
session.close()
@staticmethod
def parse_and_validate_response(response_text: str) -> AIExtractionResponse:
"""
Parse and validate AI response against schema.
Pipeline:
1. Extract JSON from response (handle markdown code blocks)
2. Parse JSON
3. Validate against Pydantic schema (includes normalization and clamping)
Raises:
ValidationError: If response doesn't match schema
json.JSONDecodeError: If JSON is invalid
"""
# Try to extract JSON from markdown code blocks
json_match = re.search(r"```(?:json)?\s*(\{.*?\})\s*```", response_text, re.DOTALL)
if json_match:
json_str = json_match.group(1)
else:
# Try to find raw JSON object
json_match = re.search(r"\{.*\}", response_text, re.DOTALL)
if json_match:
json_str = json_match.group(0)
else:
json_str = response_text
# Parse JSON
data = json.loads(json_str)
# Validate and normalize through Pydantic
return AIExtractionResponse(**data)
@classmethod
async def repair_json_response(
cls,
raw_output: str,
config: AIConfig,
) -> AIExtractionResponse:
"""
Attempt to repair invalid JSON using a second LLM call.
Args:
raw_output: The raw AI output that failed parsing
config: AI configuration dict
Returns:
Validated AIExtractionResponse
Raises:
Exception: If repair also fails
"""
logger.warning("Attempting JSON repair with second LLM call")
repair_prompt = get_repair_prompt(raw_output)
# Use a simpler, cheaper model for repair if possible
# For now, use the same model
kwargs = {
"model": config["model"] if config["provider"] != "ollama" else f"ollama/{config['model']}",
"messages": [{"role": "user", "content": repair_prompt}],
"max_tokens": 300,
"temperature": 0.0, # Very deterministic for repair
"timeout": config["timeout"],
}
if config["api_key"]:
kwargs["api_key"] = config["api_key"]
if config["provider"] == "ollama":
kwargs["api_base"] = config["api_base"]
kwargs["format"] = "json"
elif config["provider"] == "openai" and config["api_base"]:
kwargs["api_base"] = config["api_base"]
response = await acompletion(**kwargs)
repaired_text = response.choices[0].message.content
# Validate repaired response
return cls.parse_and_validate_response(repaired_text)
@staticmethod
@retry(
retry=retry_if_exception_type((TimeoutError, ConnectionError)),
stop=stop_after_attempt(3),
wait=wait_exponential(multiplier=1, min=2, max=10),
reraise=True,
)
async def call_llm(
prompt: str,
image_data_url: str,
config: AIConfig,
) -> str:
"""
Call LLM with structured output settings and retry logic.
Returns:
Raw response text from the model
Raises:
TimeoutError: If request times out after retries
ConnectionError: If connection fails after retries
"""
messages = [
{
"role": "user",
"content": [
{"type": "text", "text": prompt},
{"type": "image_url", "image_url": {"url": image_data_url}},
],
}
]
# Prepare kwargs for litellm
kwargs: dict[str, Any] = {
"model": config["model"] if config["provider"] != "ollama" else f"ollama/{config['model']}",
"messages": messages,
"max_tokens": config["max_tokens"],
"temperature": config["temperature"],
"timeout": config["timeout"],
}
if config["api_key"]:
kwargs["api_key"] = config["api_key"]
# Provider-specific structured output features
if config["provider"] == "ollama":
kwargs["api_base"] = config["api_base"]
kwargs["format"] = "json" # Force JSON mode for Ollama
elif config["provider"] == "openai":
# Use OpenAI's JSON mode
kwargs["response_format"] = {"type": "json_object"}
if config["api_base"]:
kwargs["api_base"] = config["api_base"]
elif config["provider"] == "anthropic":
# Anthropic doesn't have native JSON mode yet, rely on prompt
if config["api_base"]:
kwargs["api_base"] = config["api_base"]
# Other providers - rely on prompt engineering
elif config["api_base"]:
kwargs["api_base"] = config["api_base"]
# Call litellm asynchronously
sanitized_key = _sanitize_api_key(config["api_key"]) if config["api_key"] else "(none)"
logger.info(
f"Calling {config['provider']}/{config['model']} "
f"(temp={config['temperature']}, max_tokens={config['max_tokens']}, "
f"timeout={config['timeout']}s, key={sanitized_key})"
)
response = await acompletion(**kwargs)
content = response.choices[0].message.content
return content or ""
@classmethod
async def analyze_image(
cls,
image_path: str,
page_text: str = "",
) -> tuple[AIExtractionResponse, AIExtractionMetadata] | None:
"""
Analyze image and extract price/stock information.
Args:
image_path: Path to screenshot
page_text: Optional webpage text context
Returns:
Tuple of (AIExtractionResponse, AIExtractionMetadata) or None on failure
"""
try:
# Get AI config
loop = asyncio.get_running_loop()
config = await loop.run_in_executor(None, cls.get_ai_config)
logger.info(
f"Analyzing image with Provider: {config['provider']}, "
f"Model: {config['model']}, Timeout: {config['timeout']}s"
)
# Encode image
base64_image = await encode_image(image_path)
data_url = f"data:image/jpeg;base64,{base64_image}"
# Prepare prompt with optional text context
cleaned_text = ""
if page_text:
cleaned_text = clean_text(page_text)
if len(cleaned_text) > MAX_TEXT_LENGTH:
cleaned_text = cleaned_text[:MAX_TEXT_LENGTH] + "...(truncated)"
logger.info(f"Added text context (original: {len(page_text)}, cleaned: {len(cleaned_text)})")
prompt = get_extraction_prompt(cleaned_text if cleaned_text else None)
# Call LLM
response_text = await cls.call_llm(prompt, data_url, config)
logger.info(f"AI Response: {response_text[:200]}...")
# Parse and validate response
repair_used = False
try:
extraction_result = cls.parse_and_validate_response(response_text)
except (ValidationError, json.JSONDecodeError) as e:
logger.warning(f"Primary parsing failed: {e}")
if config["enable_json_repair"]:
try:
extraction_result = await cls.repair_json_response(response_text, config)
repair_used = True
logger.info("JSON repair successful")
except Exception as repair_error:
logger.error(f"JSON repair also failed: {repair_error}")
raise
else:
raise
# Create metadata
metadata = AIExtractionMetadata(
model_name=config["model"],
provider=config["provider"],
prompt_version=PROMPT_VERSION,
repair_used=repair_used,
multi_sample=False,
sample_count=1,
)
logger.info(
f"Extraction successful: price={extraction_result.price} "
f"(conf={extraction_result.price_confidence:.2f}), "
f"stock={extraction_result.in_stock} (conf={extraction_result.in_stock_confidence:.2f})"
)
return extraction_result, metadata
except Exception as e:
logger.error(f"Error in analyze_image: {e}", exc_info=True)
return None
app/services/item_service.py
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import logging
import os
from datetime import UTC, datetime
from fastapi import HTTPException
from sqlalchemy.orm import Session
from app import models, schemas
from app.services.settings_service import SettingsService
from app.url_validation import URLValidationError, validate_url
logger = logging.getLogger(__name__)
class ItemService:
@staticmethod
def get_items(db: Session):
items = db.query(models.Item).all()
return [
{
**item.__dict__,
"screenshot_url": f"/screenshots/item_{item.id}.png"
if os.path.exists(f"screenshots/item_{item.id}.png")
else None,
}
for item in items
]
@staticmethod
def create_item(db: Session, item: schemas.ItemCreate):
logger.info(f"Creating item: {item.name} - {item.url}")
try:
validate_url(item.url)
except URLValidationError as e:
raise HTTPException(status_code=400, detail=f"Invalid URL: {e}") from e
db_item = models.Item(**item.model_dump())
db.add(db_item)
db.commit()
db.refresh(db_item)
return db_item
@staticmethod
def update_item(db: Session, item_id: int, item_update: schemas.ItemCreate):
db_item = db.query(models.Item).filter(models.Item.id == item_id).first()
if not db_item:
raise HTTPException(status_code=404, detail="Item not found")
for key, value in item_update.model_dump().items():
setattr(db_item, key, value)
db.commit()
db.refresh(db_item)
return db_item
@staticmethod
def delete_item(db: Session, item_id: int):
item = db.query(models.Item).filter(models.Item.id == item_id).first()
if not item:
raise HTTPException(status_code=404, detail="Item not found")
if os.path.exists(f"screenshots/item_{item_id}.png"):
try:
os.remove(f"screenshots/item_{item_id}.png")
except OSError:
pass
db.delete(item)
db.commit()
return {"ok": True}
@staticmethod
def get_item(db: Session, item_id: int):
return db.query(models.Item).filter(models.Item.id == item_id).first()
@staticmethod
def get_item_data_for_checking(db: Session, item_id: int):
item = db.query(models.Item).filter(models.Item.id == item_id).first()
if not item:
return None, None
settings = {s.key: s.value for s in db.query(models.Settings).all()}
profile = item.notification_profile
item_data = {
"id": item.id,
"url": item.url,
"selector": item.selector,
"name": item.name,
"current_price": item.current_price,
"in_stock": item.in_stock,
"target_price": item.target_price,
"notification_profile": profile.__dict__ if profile else None,
}
config = {
"smart_scroll": settings.get("smart_scroll_enabled", "false").lower() == "true",
"smart_scroll_pixels": int(settings.get("smart_scroll_pixels", "350")),
"text_context_enabled": settings.get("text_context_enabled", "false").lower() == "true",
"text_length": int(settings.get("text_context_length", "5000"))
if settings.get("text_context_enabled", "false").lower() == "true"
else 0,
"scraper_timeout": int(settings.get("scraper_timeout", "90000")),
}
return item_data, config
@staticmethod
def get_due_items(db: Session):
items = db.query(models.Item).filter(models.Item.is_active).all()
global_interval = int(SettingsService.get_setting_value(db, "refresh_interval_minutes", "60"))
due_items = []
now = datetime.now(UTC)
for item in items:
if item.is_refreshing:
continue
interval = (
item.notification_profile.check_interval_minutes
if item.notification_profile and item.notification_profile.check_interval_minutes
else global_interval
)
if not item.last_checked:
due_items.append((item.id, interval, -1))
continue
last_checked = (
item.last_checked.replace(tzinfo=UTC) if item.last_checked.tzinfo is None else item.last_checked
)
time_since = (now - last_checked).total_seconds() / 60
if time_since >= interval:
due_items.append((item.id, interval, int(time_since)))
return due_items
app/services/notification_service.py
+89
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from fastapi import HTTPException
from sqlalchemy.orm import Session
from app import models, notification_sender, schemas
class NotificationService:
@staticmethod
def get_notification_profiles(db: Session):
return db.query(models.NotificationProfile).all()
@staticmethod
def create_notification_profile(db: Session, profile: schemas.NotificationProfileCreate):
db_profile = models.NotificationProfile(**profile.model_dump())
db.add(db_profile)
db.commit()
db.refresh(db_profile)
return db_profile
@staticmethod
def delete_notification_profile(db: Session, profile_id: int):
profile = db.query(models.NotificationProfile).filter(models.NotificationProfile.id == profile_id).first()
if not profile:
raise HTTPException(status_code=404, detail="Profile not found")
db.delete(profile)
db.commit()
db.delete(profile)
db.commit()
return {"ok": True}
@staticmethod
def update_notification_profile(db: Session, profile_id: int, profile_data: schemas.NotificationProfileUpdate):
profile = db.query(models.NotificationProfile).filter(models.NotificationProfile.id == profile_id).first()
if not profile:
raise HTTPException(status_code=404, detail="Profile not found")
for key, value in profile_data.model_dump().items():
setattr(profile, key, value)
db.commit()
db.refresh(profile)
return profile
@staticmethod
async def send_item_notifications(
item_data: dict,
price: float | None,
old_price: float | None,
in_stock: bool | None,
old_stock: bool | None,
):
profile = item_data["notification_profile"]
if not profile:
return
if profile["notify_on_price_drop"] and price is not None and old_price is not None:
if price < old_price:
drop_percent = ((old_price - price) / old_price) * 100
if drop_percent >= profile["price_drop_threshold_percent"]:
await notification_sender.send_notification(
[profile["apprise_url"]],
f"Price Drop Alert: {item_data['name']}",
f"Price dropped by {drop_percent:.1f}%! Now ${price} (was ${old_price})",
)
if (
profile["notify_on_target_price"]
and price is not None
and item_data["target_price"]
and price <= item_data["target_price"]
):
await notification_sender.send_notification(
[profile["apprise_url"]],
f"Target Price Alert: {item_data['name']}",
f"Price is ${price} (Target: ${item_data['target_price']})",
)
if (
profile["notify_on_stock_change"]
and in_stock is not None
and old_stock is not None
and in_stock != old_stock
):
status = "In Stock" if in_stock else "Out of Stock"
await notification_sender.send_notification(
[profile["apprise_url"]],
f"Stock Alert: {item_data['name']}",
f"Item is now {status}",
)
app/services/scheduler_service.py
+147
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import asyncio
import logging
from datetime import UTC, datetime
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from app import database, models
from app.ai_schema import AIExtractionMetadata, AIExtractionResponse
from app.services.ai_service import AIService
from app.services.item_service import ItemService
from app.services.notification_service import NotificationService
from app.services.scraper_service import ScraperService
logger = logging.getLogger(__name__)
scheduler = AsyncIOScheduler()
PRICE_CHANGE_THRESHOLD_PERCENT = 20.0
LOW_CONFIDENCE_THRESHOLD = 0.7
def _get_thresholds():
with database.SessionLocal() as session:
settings = {s.key: s.value for s in session.query(models.Settings).all()}
return {
"price": float(settings.get("confidence_threshold_price", "0.5")),
"stock": float(settings.get("confidence_threshold_stock", "0.5")),
}
def _update_db_result(
item_id: int,
extraction: AIExtractionResponse,
metadata: AIExtractionMetadata,
thresholds: dict,
screenshot_path: str,
):
with database.SessionLocal() as session:
item = session.query(models.Item).filter(models.Item.id == item_id).first()
if not item:
return None, None
old_price, old_stock = item.current_price, item.in_stock
price, in_stock = extraction.price, extraction.in_stock
p_conf, s_conf = extraction.price_confidence, extraction.in_stock_confidence
if price is not None:
if p_conf >= thresholds["price"]:
if (
old_price
and (abs(price - old_price) / old_price * 100 > PRICE_CHANGE_THRESHOLD_PERCENT)
and p_conf < LOW_CONFIDENCE_THRESHOLD
):
item.last_error = f"Uncertain: Large price change with low confidence ({p_conf:.2f})"
else:
item.last_error = None
item.current_price = price
item.current_price_confidence = p_conf
session.add(
models.PriceHistory(
item_id=item.id,
price=price,
screenshot_path=screenshot_path,
price_confidence=p_conf,
in_stock_confidence=s_conf,
ai_model=metadata.model_name,
ai_provider=metadata.provider,
prompt_version=metadata.prompt_version,
repair_used=metadata.repair_used,
)
)
if in_stock is not None and s_conf >= thresholds["stock"]:
item.in_stock = in_stock
item.in_stock_confidence = s_conf
item.last_checked = datetime.now(UTC)
item.is_refreshing = False
if item.last_error and not item.last_error.startswith("Uncertain:"):
item.last_error = None
session.commit()
return old_price, old_stock
def _update_db_error(item_id, error_msg):
with database.SessionLocal() as session:
if item := session.query(models.Item).filter(models.Item.id == item_id).first():
item.is_refreshing = False
item.last_error = error_msg
item.last_checked = datetime.now(UTC)
session.commit()
async def process_item_check(item_id: int):
loop = asyncio.get_running_loop()
with database.SessionLocal() as session:
item_data, config = await loop.run_in_executor(None, ItemService.get_item_data_for_checking, session, item_id)
if not item_data:
logger.error(f"process_item_check: Item ID {item_id} not found")
return
try:
logger.info(f"Checking item: {item_data['name']} ({item_data['url']})")
screenshot_path, page_text = await ScraperService.scrape_item(
item_data["url"],
item_data["selector"],
item_id,
smart_scroll=config["smart_scroll"],
scroll_pixels=config["smart_scroll_pixels"],
text_length=config["text_length"],
timeout=config["scraper_timeout"],
)
if not screenshot_path:
raise Exception("Failed to capture screenshot")
if not (ai_result := await AIService.analyze_image(screenshot_path, page_text=page_text)):
raise Exception("AI analysis failed")
extraction, metadata = ai_result
thresholds = await loop.run_in_executor(None, _get_thresholds)
old_price, old_stock = await loop.run_in_executor(
None, _update_db_result, item_id, extraction, metadata, thresholds, screenshot_path
)
await NotificationService.send_item_notifications(
item_data, extraction.price, old_price, extraction.in_stock, old_stock
)
except Exception as e:
logger.error(f"Error in process_item_check: {e}")
await loop.run_in_executor(None, _update_db_error, item_id, str(e))
async def scheduled_refresh():
logger.info("Heartbeat: Checking for items due for refresh")
loop = asyncio.get_running_loop()
try:
with database.SessionLocal() as session:
due_items = await loop.run_in_executor(None, ItemService.get_due_items, session)
for item_id, _, _ in due_items:
await process_item_check(item_id)
except Exception as e:
logger.error(f"Error in scheduled refresh: {e}", exc_info=True)
app/services/scraper_service.py
+185
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import asyncio
import logging
import os
from playwright.async_api import TimeoutError as PlaywrightTimeoutError
from playwright.async_api import async_playwright
logger = logging.getLogger(__name__)
BROWSERLESS_URL = os.getenv("BROWSERLESS_URL", "ws://browserless:3000")
class ScraperService:
@staticmethod
async def scrape_item( # noqa: PLR0913, PLR0912, PLR0915
url: str,
selector: str | None = None,
item_id: int | None = None,
smart_scroll: bool = False,
scroll_pixels: int = 350,
text_length: int = 0,
timeout: int = 90000,
) -> tuple[str | None, str]:
"""
Scrapes the given URL using Browserless and Playwright.
Returns a tuple: (screenshot_path, page_text)
Args:
url: Target URL to scrape
selector: Optional CSS selector to focus on
item_id: Optional item ID for screenshot naming
smart_scroll: Enable scrolling to load lazy content
scroll_pixels: Number of pixels to scroll (must be positive)
text_length: Number of characters to extract (0 = disabled)
timeout: Page load timeout in milliseconds
"""
# Input validation
if scroll_pixels <= 0:
logger.warning(f"Invalid scroll_pixels value: {scroll_pixels}, using default 350")
scroll_pixels = 350
if timeout <= 0:
logger.warning(f"Invalid timeout value: {timeout}, using default 90000")
timeout = 90000
async with async_playwright() as p:
browser = None
try:
logger.info(f"Connecting to Browserless at {BROWSERLESS_URL}")
browser = await p.chromium.connect_over_cdp(BROWSERLESS_URL)
context = await browser.new_context(
viewport={"width": 1920, "height": 1080},
user_agent=(
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/120.0.0.0 Safari/537.36"
),
)
# Stealth mode / Ad blocking attempts
await context.route("**/*", lambda route: route.continue_())
page = await context.new_page()
logger.info(f"Navigating to {url} (Timeout: {timeout}ms)")
try:
# First wait for domcontentloaded - this is the minimum we need
await page.goto(url, wait_until="domcontentloaded", timeout=timeout)
logger.info(f"Page loaded (domcontentloaded): {url}")
# Then try to wait for networkidle, but don't fail if it times out
# This helps with heavy pages that never fully settle
try:
await page.wait_for_load_state("networkidle", timeout=5000)
logger.info("Network idle reached")
except PlaywrightTimeoutError:
logger.info("Network idle timed out (non-critical), proceeding...")
except Exception as e:
logger.error(f"Error navigating to {url}: {e}")
# Try to take screenshot anyway if page partially loaded
pass
# Wait a bit for dynamic content if needed
await page.wait_for_timeout(2000)
# Try to close common popups
logger.info("Attempting to close popups...")
popup_selectors = [
"button[aria-label='Close']",
"button[aria-label='close']",
".close-button",
".modal-close",
"svg[data-name='Close']",
"[class*='popup'] button",
"[class*='modal'] button",
"button:has-text('No, thanks')",
"button:has-text('No thanks')",
"a:has-text('No, thanks')",
"div[role='dialog'] button[aria-label='Close']",
]
for popup_selector in popup_selectors:
try:
if await page.locator(popup_selector).count() > 0:
logger.info(f"Found popup close button: {popup_selector}")
# Try to click it. If it fails, catch and continue
await page.locator(popup_selector).first.click(timeout=2000)
await page.wait_for_timeout(1000) # Wait for animation
except Exception as e:
logger.debug(f"Could not close popup with selector {popup_selector}: {e}")
# Also try pressing Escape
try:
await page.keyboard.press("Escape")
except Exception as e:
logger.debug(f"Could not press Escape key: {e}")
if selector:
try:
logger.info(f"Waiting for selector: {selector}")
await page.wait_for_selector(selector, timeout=5000)
# Scroll to element
element = page.locator(selector).first
await element.scroll_into_view_if_needed()
logger.info(f"Scrolled to selector: {selector}")
except Exception as e:
logger.warning(f"Selector {selector} not found or timed out: {e}")
else:
# Auto-detect price if no selector
logger.info("No selector provided. Attempting to find price element...")
try:
# Look for common price patterns
price_locator = page.locator("text=/$[0-9,]+(\\.[0-9]{2})?/")
if await price_locator.count() > 0:
# Pick the first one that looks visible and reasonable size
# This is heuristic
await price_locator.first.scroll_into_view_if_needed()
logger.info("Scrolled to potential price element")
except Exception as e:
logger.warning(f"Auto-price detection failed: {e}")
# Smart Scroll
if smart_scroll:
logger.info(f"Performing smart scroll ({scroll_pixels}px)...")
try:
await page.evaluate(f"window.scrollBy(0, {scroll_pixels})")
await page.wait_for_timeout(1000)
except Exception as e:
logger.warning(f"Smart scroll failed: {e}")
# Text Extraction
page_text = ""
if text_length > 0:
try:
logger.info(f"Extracting text (limit: {text_length} chars)...")
# Get text from body
raw_text = await page.inner_text("body")
# Simple truncation
page_text = raw_text[:text_length]
logger.info(f"Extracted {len(page_text)} characters")
except Exception as e:
logger.error(f"Text extraction failed: {e}")
# Take screenshot
screenshot_dir = "screenshots"
os.makedirs(screenshot_dir, exist_ok=True)
if item_id:
filename = f"{screenshot_dir}/item_{item_id}.png"
else:
url_part = url.split("//")[-1].replace("/", "_")
timestamp = asyncio.get_event_loop().time()
filename = f"{screenshot_dir}/{url_part}_{timestamp}.png"
await page.screenshot(path=filename, full_page=False)
logger.info(f"Screenshot saved to {filename}")
return filename, page_text
except Exception as e:
logger.error(f"Error scraping {url}: {e}")
return None, ""
finally:
if browser:
await browser.close()
app/services/settings_service.py
+25
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from sqlalchemy.orm import Session
from app import models, schemas
class SettingsService:
@staticmethod
def get_settings(db: Session):
return db.query(models.Settings).all()
@staticmethod
def update_setting(db: Session, setting: schemas.SettingsUpdate):
db_setting = db.query(models.Settings).filter(models.Settings.key == setting.key).first()
if db_setting:
db_setting.value = setting.value
else:
db_setting = models.Settings(key=setting.key, value=setting.value)
db.add(db_setting)
db.commit()
return db_setting
@staticmethod
def get_setting_value(db: Session, key: str, default: str | None = None):
setting = db.query(models.Settings).filter(models.Settings.key == key).first()
return setting.value if setting else default
app/url_validation.py
+69
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"""URL validation utilities for security."""
import re
from urllib.parse import urlparse
class URLValidationError(Exception):
"""Raised when URL validation fails."""
pass
# Blocked schemes that could be used for SSRF
BLOCKED_SCHEMES = {"file", "javascript", "data", "ftp"}
# Private IP ranges (RFC 1918, RFC 4193, loopback)
PRIVATE_IP_PATTERNS = [
re.compile(r"^127\."), # Loopback
re.compile(r"^10\."), # Private Class A
re.compile(r"^172\.(1[6-9]|2[0-9]|3[0-1])\."), # Private Class B
re.compile(r"^192\.168\."), # Private Class C
re.compile(r"^169\.254\."), # Link-local
re.compile(r"^::1$"), # IPv6 loopback
re.compile(r"^fc00:"), # IPv6 private
re.compile(r"^fe80:"), # IPv6 link-local
re.compile(r"^localhost$", re.IGNORECASE),
re.compile(r"^0\.0\.0\.0$"), # Any address
]
def validate_url(url: str, allow_private: bool = False) -> None:
"""
Validate URL for security (SSRF prevention).
Args:
url: URL to validate
allow_private: Allow private/internal IPs (default: False)
Raises:
URLValidationError: If URL is invalid or blocked
"""
if not url or not isinstance(url, str):
raise URLValidationError("URL must be a non-empty string")
try:
parsed = urlparse(url.strip())
except Exception as e:
raise URLValidationError(f"Invalid URL format: {e}") from e
# Check scheme
if not parsed.scheme:
raise URLValidationError("URL must include a scheme (http:// or https://)")
if parsed.scheme.lower() in BLOCKED_SCHEMES:
raise URLValidationError(f"Blocked URL scheme: {parsed.scheme}")
if parsed.scheme.lower() not in {"http", "https"}:
raise URLValidationError(f"Only HTTP/HTTPS schemes allowed, got: {parsed.scheme}")
# Check hostname
if not parsed.hostname:
raise URLValidationError("URL must include a hostname")
# Check for private IPs unless explicitly allowed
if not allow_private:
hostname = parsed.hostname.lower()
for pattern in PRIVATE_IP_PATTERNS:
if pattern.match(hostname):
raise URLValidationError(f"Private/internal IPs not allowed: {hostname}")
app/utils/image.py
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import asyncio
import base64
import io
import logging
from PIL import Image
logger = logging.getLogger(__name__)
# Image processing constants
MAX_IMAGE_SIZE = 1024
JPEG_QUALITY = 85
def _process_image(image_path: str) -> str:
"""
Synchronous image processing function to be run in an executor.
"""
try:
with Image.open(image_path) as img:
# Resize if too large (e.g., max dimension 1024)
if max(img.size) > MAX_IMAGE_SIZE:
img.thumbnail((MAX_IMAGE_SIZE, MAX_IMAGE_SIZE))
logger.info(f"Resized image to {img.size}")
# Convert to RGB if necessary (e.g. for PNGs with alpha)
if img.mode in ("RGBA", "P"):
img_to_process = img.convert("RGB")
else:
img_to_process = img
buffered = io.BytesIO()
img_to_process.save(buffered, format="JPEG", quality=JPEG_QUALITY)
return base64.b64encode(buffered.getvalue()).decode("utf-8")
except Exception as e:
logger.error(f"Error encoding image: {e}")
raise
async def encode_image(image_path: str) -> str:
"""
Asynchronously encode image by running blocking code in a thread.
"""
loop = asyncio.get_running_loop()
return await loop.run_in_executor(None, _process_image, image_path)
app/utils/text.py
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import re
# Text filtering constants
MIN_SNIPPET_LENGTH = 10
SNIPPET_MERGE_DISTANCE = 50
SNIPPET_CONTEXT_WINDOW = 100
def clean_text(text: str) -> str:
"""
Cleans the text by removing code blocks, HTML tags, and excessive whitespace.
"""
if not text:
return ""
# Remove code blocks (```...```)
text = re.sub(r"```.*?```", "", text, flags=re.DOTALL)
# Remove HTML tags (basic)
text = re.sub(r"<[^>]+>", "", text)
# Remove non-printable characters (keep newlines and tabs)
text = re.sub(r"[^\x20-\x7E\n\t]", "", text)
# Collapse excessive whitespace
text = re.sub(r"\s+", " ", text).strip()
return text
def _find_matches(text: str, text_lower: str, keyword: str) -> list[tuple[int, str]]:
snippets = []
if keyword.startswith("r\\"):
pattern = keyword[1:] # Remove 'r' prefix
for match in re.finditer(pattern, text_lower, re.IGNORECASE):
start = max(0, match.start() - SNIPPET_CONTEXT_WINDOW)
end = min(len(text), match.end() + SNIPPET_CONTEXT_WINDOW)
snippet = text[start:end].strip()
if snippet and len(snippet) > MIN_SNIPPET_LENGTH:
snippets.append((start, snippet))
else:
pos = 0
while True:
pos = text_lower.find(keyword.lower(), pos)
if pos == -1:
break
start = max(0, pos - SNIPPET_CONTEXT_WINDOW)
end = min(len(text), pos + len(keyword) + SNIPPET_CONTEXT_WINDOW)
snippet = text[start:end].strip()
if snippet and len(snippet) > MIN_SNIPPET_LENGTH:
snippets.append((start, snippet))
pos += 1
return snippets
def filter_relevant_text(text: str, max_length: int = 2000) -> str:
"""
Filter text to extract only relevant snippets around price and stock indicators.
Args:
text: Full cleaned webpage text
max_length: Maximum total length of filtered output
Returns:
Filtered text containing only relevant snippets
"""
if not text:
return ""
# Keywords to search for (case-insensitive)
price_keywords = [
r"\$\d+\.?\d*", # $XX.XX pattern
r"\d+\.\d{2}\s*(usd|eur|gbp|cad)", # XX.XX USD pattern
"price:",
"cost:",
"sale:",
"msrp:",
"save:",
"discount:",
r"\$", # Any dollar sign
]
stock_keywords = [
"add to cart",
"buy now",
"purchase",
"order now",
"in stock",
"out of stock",
"available",
"unavailable",
"sold out",
"notify me",
"back in stock",
"pre-order",
"ships",
"delivery",
"get it by",
]
all_keywords = price_keywords + stock_keywords
snippets = []
text_lower = text.lower()
# Find all matches and extract context
for keyword in all_keywords:
snippets.extend(_find_matches(text, text_lower, keyword))
if not snippets:
# No matches found, return beginning of text
if len(text) > max_length:
return text[:max_length] + "...(truncated)"
return text
# Sort by position and deduplicate overlapping snippets
snippets.sort(key=lambda x: x[0])
merged_snippets = []
current_start, current_text = snippets[0]
current_end = current_start + len(current_text)
for start, snippet in snippets[1:]:
end = start + len(snippet)
# If overlapping or close together, merge
if start <= current_end + SNIPPET_MERGE_DISTANCE:
# Extend current snippet
if end > current_end:
# Merge overlapping text
current_text = current_text + " " + snippet[max(0, current_end - start) :]
current_end = end
else:
# Save current and start new
merged_snippets.append(current_text)
current_start, current_text = start, snippet
current_end = end
merged_snippets.append(current_text)
# Join snippets with separator and limit total length
result = " ... ".join(merged_snippets)
if len(result) > max_length:
result = result[:max_length] + "...(truncated)"
return result
docker-entrypoint.sh
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#!/bin/sh
set -e
echo "Setting up screenshots directory..."
mkdir -p screenshots
echo "Running database migrations..."
alembic upgrade head
echo "Starting application..."
exec uvicorn app.main:app --host 0.0.0.0 --port 8000
frontend/index.html
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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/x-icon" href="/favicon.ico" />
<link rel="apple-touch-icon" href="/apple-touch-icon.png" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Pricecious</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.jsx"></script>
</body>
</html>
frontend/package-lock.json
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frontend/package.json
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{
"name": "pricecious-frontend",
"private": true,
"version": "0.1.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "vite build",
"preview": "vite preview"
},
"dependencies": {
"@radix-ui/react-dialog": "^1.1.15",
"@radix-ui/react-label": "^2.1.8",
"@radix-ui/react-select": "^2.2.6",
"@radix-ui/react-slot": "^1.2.4",
"@radix-ui/react-switch": "^1.2.6",
"axios": "^1.6.0",
"class-variance-authority": "^0.7.1",
"clsx": "^2.1.1",
"lucide-react": "^0.292.0",
"react": "^18.2.0",
"react-dom": "^18.2.0",
"react-router-dom": "^6.30.2",
"sonner": "^1.4.0",
"tailwind-merge": "^3.4.0",
"tailwindcss-animate": "^1.0.7"
},
"devDependencies": {
"@types/react": "^18.2.37",
"@types/react-dom": "^18.2.15",
"@vitejs/plugin-react": "^4.2.0",
"autoprefixer": "^10.4.16",
"postcss": "^8.4.31",
"tailwindcss": "^3.3.5",
"vite": "^7.2.4"
}
}
frontend/postcss.config.js
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export default {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
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frontend/src/App.jsx
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import React from 'react'
import { BrowserRouter as Router, Routes, Route } from 'react-router-dom'
import { Toaster } from 'sonner'
import Layout from '@/components/layout/Layout'
import Dashboard from '@/pages/Dashboard'
import Settings from '@/pages/Settings'
import { useTheme } from '@/hooks/use-theme'
export default function App() {
const { theme, toggleTheme } = useTheme();
return (
<Router>
<Toaster position="bottom-right" theme={theme} />
<Layout theme={theme} toggleTheme={toggleTheme}>
<Routes>
<Route path="/" element={<Dashboard />} />
<Route path="/settings" element={<Settings />} />
</Routes>
</Layout>
</Router>
);
}
frontend/src/components/dashboard/DeleteConfirmationModal.jsx
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import React from 'react';
import { Dialog, DialogContent, DialogHeader, DialogTitle, DialogFooter, DialogDescription } from '@/components/ui/dialog';
import { Button } from '@/components/ui/button';
export function DeleteConfirmationModal({ item, onClose, onConfirm, open }) {
return (
<Dialog open={open} onOpenChange={onClose}>
<DialogContent>
<DialogHeader>
<DialogTitle>Delete Item</DialogTitle>
<DialogDescription>
Are you sure you want to delete <span className="font-semibold text-foreground">{item?.name}</span>? This action cannot be undone.
</DialogDescription>
</DialogHeader>
<DialogFooter>
<Button variant="outline" onClick={onClose}>Cancel</Button>
<Button variant="destructive" onClick={onConfirm}>Delete</Button>
</DialogFooter>
</DialogContent>
</Dialog>
);
}
frontend/src/components/dashboard/ItemCard.jsx
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import React from 'react';
import { ExternalLink, Edit2, RefreshCw, Trash2, AlertTriangle, Clock } from 'lucide-react';
import { Card, CardContent, CardFooter, CardHeader } from '@/components/ui/card';
import { Button } from '@/components/ui/button';
import { Marquee } from '@/components/ui/marquee';
import { cn } from '@/lib/utils';
export function ItemCard({ item, onEdit, onDelete, onCheck, onZoom }) {
const getStockStatus = (inStock) => {
if (inStock === true) return { label: 'In Stock', color: 'bg-green-500/90 text-white border-green-400/50' };
if (inStock === false) return { label: 'Out of Stock', color: 'bg-red-500/90 text-white border-red-400/50' };
return { label: 'Unknown', color: 'bg-zinc-500/90 text-white border-zinc-400/50' };
};
const stockStatus = getStockStatus(item.in_stock);
return (
<Card className="group overflow-hidden transition-all duration-300 hover:shadow-md border-zinc-200 dark:border-zinc-800 bg-white dark:bg-zinc-900">
<div className="relative aspect-video overflow-hidden bg-zinc-100 dark:bg-zinc-950 cursor-zoom-in group/image" onClick={() => onZoom(item.screenshot_url)}>
{item.screenshot_url ? (
<>
<img
src={`${item.screenshot_url}?t=${new Date(item.last_checked).getTime()}`}
alt={`Screenshot of ${item.name}`}
className="h-full w-full object-cover transition-transform duration-500 group-hover/image:scale-105"
onError={(e) => { e.target.style.display = 'none' }}
/>
<div className="absolute inset-0 bg-black/0 transition-colors group-hover/image:bg-black/10" />
</>
) : (
<div className="flex h-full w-full items-center justify-center text-sm text-zinc-400">
No screenshot
</div>
)}
{/* Stock Confidence Bar */}
{(item.in_stock_confidence !== null && item.in_stock_confidence !== undefined) && (
<div className="absolute bottom-0 left-0 right-0 h-1.5 bg-black/20 backdrop-blur-sm">
<div
className={cn("h-full transition-all duration-500",
item.in_stock_confidence > 0.8 ? 'bg-emerald-500' :
item.in_stock_confidence > 0.5 ? 'bg-yellow-500' : 'bg-red-500'
)}
style={{ width: `${item.in_stock_confidence * 100}%` }}
title={`Stock Confidence: ${Math.round(item.in_stock_confidence * 100)}%`}
/>
</div>
)}
{/* Stock Badge */}
<div className={cn("absolute right-3 top-3 rounded-full border px-2.5 py-1 text-[10px] font-bold uppercase tracking-wide shadow-sm backdrop-blur-md", stockStatus.color)}>
{stockStatus.label}
</div>
</div>
<CardContent className="p-5 relative">
<div className="mb-4 flex items-start justify-between">
<div className="flex-1 overflow-hidden pr-2">
<div className="flex items-center gap-2 mb-1">
<a
href={item.url}
target="_blank"
rel="noopener noreferrer"
className="flex-shrink-0 rounded-md bg-zinc-100 p-1.5 text-zinc-500 transition-colors hover:bg-zinc-200 dark:bg-zinc-800 dark:hover:bg-zinc-700"
>
<ExternalLink className="h-3.5 w-3.5" />
</a>
<div className="w-full overflow-hidden">
<Marquee text={item.name} className="font-semibold leading-tight" />
</div>
</div>
<a href={item.url} target="_blank" rel="noopener noreferrer" className="block truncate text-xs text-zinc-400 transition-colors hover:text-primary">
{new URL(item.url).hostname.replace('www.', '')}
</a>
</div>
</div>
<div className="space-y-4">
<div>
<div className="mb-1 flex items-baseline justify-between">
<span className="text-xs font-medium uppercase tracking-wider text-muted-foreground">Price</span>
{item.target_price && (
<span className={cn("rounded px-2 py-0.5 text-xs font-medium",
item.current_price <= item.target_price
? 'bg-green-100 text-green-700 dark:bg-green-900/30 dark:text-green-400'
: 'bg-zinc-100 text-zinc-500 dark:bg-zinc-800 dark:text-zinc-400'
)}>
Target: ${item.target_price}
</span>
)}
</div>
<div className="flex items-end gap-2">
<span className={cn("text-3xl font-bold tracking-tight leading-none",
item.target_price && item.current_price <= item.target_price
? 'text-green-600 dark:text-green-400'
: 'text-foreground'
)}>
{item.current_price ? `$${item.current_price}` : '---'}
</span>
</div>
{/* Price Confidence Bar */}
{(item.current_price_confidence !== null && item.current_price_confidence !== undefined) && (
<div className="group/confidence relative mt-2">
<div className="h-1.5 w-full overflow-hidden rounded-full bg-zinc-100 dark:bg-zinc-800">
<div
className={cn("h-full rounded-full transition-all duration-500",
item.current_price_confidence > 0.8 ? 'bg-primary' :
item.current_price_confidence > 0.5 ? 'bg-primary/70' : 'bg-primary/40'
)}
style={{ width: `${item.current_price_confidence * 100}%` }}
/>
</div>
<div className="absolute -bottom-4 left-0 text-[10px] text-muted-foreground opacity-0 transition-opacity group-hover/confidence:opacity-100">
Price Confidence: {Math.round(item.current_price_confidence * 100)}%
</div>
</div>
)}
</div>
{/* Tags */}
{item.tags && (
<div className="flex flex-wrap gap-1.5">
{item.tags.split(',').map(tag => (
<span key={tag} className="rounded-md border bg-secondary px-2 py-0.5 text-[10px] font-medium text-secondary-foreground">
{tag.trim()}
</span>
))}
</div>
)}
{/* Description */}
{item.description && (
<p className="text-xs text-muted-foreground line-clamp-2 leading-relaxed">
{item.description}
</p>
)}
</div>
</CardContent>
<CardFooter className="border-t bg-zinc-50/50 p-3 dark:bg-zinc-900/50">
<div className="flex w-full items-center justify-between">
<div className="flex items-center gap-3 text-[10px] text-muted-foreground">
<div className="flex items-center gap-1.5">
<Clock className="h-3 w-3" />
<span>{item.last_checked ? new Date(item.last_checked).toLocaleString() : 'Never'}</span>
</div>
{item.last_error && (
<div className="flex items-center gap-1 text-destructive" title={item.last_error}>
<AlertTriangle className="h-3 w-3" />
<span className="max-w-[100px] truncate">Error</span>
</div>
)}
</div>
<div className="flex gap-1">
<Button variant="ghost" size="icon" className="h-6 w-6" onClick={() => onEdit(item)}>
<Edit2 className="h-3 w-3" />
</Button>
<Button variant="ghost" size="icon" className="h-6 w-6" onClick={() => onCheck(item.id)} disabled={item.is_refreshing}>
<RefreshCw className={cn("h-3 w-3", item.is_refreshing && "animate-spin text-primary")} />
</Button>
<Button variant="ghost" size="icon" className="h-6 w-6 text-destructive hover:text-destructive" onClick={() => onDelete(item)}>
<Trash2 className="h-3 w-3" />
</Button>
</div>
</div>
</CardFooter>
</Card>
);
}
frontend/src/components/dashboard/ItemModal.jsx
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import React, { useState, useEffect } from 'react';
import axios from 'axios';
import { toast } from 'sonner';
import { Dialog, DialogContent, DialogHeader, DialogTitle, DialogFooter } from '@/components/ui/dialog';
import { Button } from '@/components/ui/button';
import { Input } from '@/components/ui/input';
import { Label } from '@/components/ui/label';
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select';
const API_URL = '/api';
export function ItemModal({ item, onClose, onSaved, open }) {
const [formData, setFormData] = useState({
url: '',
name: '',
target_price: '',
selector: '',
tags: '',
description: '',
notification_profile_id: ''
});
const [profiles, setProfiles] = useState([]);
useEffect(() => {
if (item) {
setFormData({
url: item.url || '',
name: item.name || '',
target_price: item.target_price || '',
selector: item.selector || '',
tags: item.tags || '',
description: item.description || '',
notification_profile_id: item.notification_profile_id ? item.notification_profile_id.toString() : ''
});
} else {
setFormData({
url: '',
name: '',
target_price: '',
selector: '',
tags: '',
description: '',
notification_profile_id: ''
});
}
}, [item, open]);
useEffect(() => {
if (open) {
axios.get(`${API_URL}/notification-profiles`).then(res => setProfiles(res.data)).catch(console.error);
}
}, [open]);
const handleSubmit = async (e) => {
e.preventDefault();
try {
const payload = {
...formData,
target_price: formData.target_price ? parseFloat(formData.target_price) : null,
notification_profile_id: formData.notification_profile_id ? parseInt(formData.notification_profile_id) : null
};
if (item) {
await axios.put(`${API_URL}/items/${item.id}`, payload);
toast.success('Item updated');
} else {
await axios.post(`${API_URL}/items`, payload);
toast.success('Item added');
}
onSaved();
onClose();
} catch (error) {
console.error('Error saving item:', error);
toast.error('Failed to save item');
}
};
return (
<Dialog open={open} onOpenChange={onClose}>
<DialogContent className="sm:max-w-[500px]">
<DialogHeader>
<DialogTitle>{item ? 'Edit Item' : 'Add New Item'}</DialogTitle>
</DialogHeader>
<form onSubmit={handleSubmit} className="space-y-4 py-4">
<div className="space-y-2">
<Label htmlFor="url">URL</Label>
<Input
id="url"
type="url"
required
placeholder="https://example.com/product"
value={formData.url}
onChange={e => setFormData({ ...formData, url: e.target.value })}
/>
</div>
<div className="space-y-2">
<Label htmlFor="name">Name</Label>
<Input
id="name"
required
placeholder="Product Name"
value={formData.name}
onChange={e => setFormData({ ...formData, name: e.target.value })}
/>
</div>
<div className="grid grid-cols-2 gap-4">
<div className="space-y-2">
<Label htmlFor="target_price">Target Price ($)</Label>
<Input
id="target_price"
type="number"
step="0.01"
placeholder="0.00"
value={formData.target_price}
onChange={e => setFormData({ ...formData, target_price: e.target.value })}
/>
</div>
<div className="space-y-2">
<Label htmlFor="selector">Selector (Optional)</Label>
<Input
id="selector"
placeholder=".price-class"
value={formData.selector}
onChange={e => setFormData({ ...formData, selector: e.target.value })}
/>
</div>
</div>
<div className="space-y-2">
<Label htmlFor="profile">Notification Profile</Label>
<Select
value={formData.notification_profile_id}
onValueChange={(value) => setFormData({ ...formData, notification_profile_id: value })}
>
<SelectTrigger>
<SelectValue placeholder="Select a profile" />
</SelectTrigger>
<SelectContent>
<SelectItem value="none">None</SelectItem>
{profiles.map(p => (
<SelectItem key={p.id} value={p.id.toString()}>{p.name}</SelectItem>
))}
</SelectContent>
</Select>
</div>
<div className="space-y-2">
<Label htmlFor="tags">Tags</Label>
<Input
id="tags"
placeholder="tech, home, gift (comma separated)"
value={formData.tags}
onChange={e => setFormData({ ...formData, tags: e.target.value })}
/>
</div>
<div className="space-y-2">
<Label htmlFor="description">Description</Label>
<textarea
id="description"
className="flex min-h-[80px] w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50"
placeholder="Add notes about this item..."
value={formData.description}
onChange={e => setFormData({ ...formData, description: e.target.value })}
/>
</div>
<DialogFooter>
<Button type="button" variant="outline" onClick={onClose}>Cancel</Button>
<Button type="submit">Save Item</Button>
</DialogFooter>
</form>
</DialogContent>
</Dialog>
);
}
frontend/src/components/layout/Layout.jsx
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import React, { useState } from 'react';
import { Link, useLocation } from 'react-router-dom';
import { LayoutDashboard, Settings, Moon, Sun, Menu } from 'lucide-react';
import { Button } from '@/components/ui/button';
import { Sheet, SheetContent, SheetTrigger } from '@/components/ui/sheet';
import { cn } from '@/lib/utils';
const Layout = ({ children, theme, toggleTheme }) => {
const location = useLocation();
const [mobileMenuOpen, setMobileMenuOpen] = useState(false);
const navItems = [
{ icon: LayoutDashboard, label: 'Dashboard', path: '/' },
{ icon: Settings, label: 'Settings', path: '/settings' },
];
return (
<div className="min-h-screen bg-background font-sans antialiased">
{/* Sidebar */}
<aside className="fixed left-0 top-0 z-40 h-screen w-64 border-r bg-card hidden md:block">
<div className="flex h-full flex-col">
<div className="flex h-14 items-center border-b px-6">
<Link to="/" className="flex items-center gap-2 font-semibold">
<img src="/logo.png" alt="Pricecious Logo" className="h-8 w-8" />
<span className="text-xl font-bold bg-gradient-to-r from-primary to-primary/60 bg-clip-text text-transparent">
Pricecious
</span>
</Link>
</div>
<nav className="flex-1 space-y-1 p-4">
{navItems.map((item) => {
const Icon = item.icon;
const isActive = location.pathname === item.path;
return (
<Link key={item.path} to={item.path}>
<Button
variant={isActive ? "secondary" : "ghost"}
className={cn("w-full justify-start gap-2", isActive && "bg-secondary")}
>
<Icon className="h-4 w-4" />
{item.label}
</Button>
</Link>
);
})}
</nav>
<div className="border-t p-4">
<Button
variant="ghost"
size="icon"
onClick={toggleTheme}
className="w-full justify-start gap-2 px-4"
>
{theme === 'dark' ? (
<>
<Sun className="h-4 w-4" />
<span>Light Mode</span>
</>
) : (
<>
<Moon className="h-4 w-4" />
<span>Dark Mode</span>
</>
)}
</Button>
</div>
</div>
</aside>
{/* Mobile Header */}
<header className="sticky top-0 z-30 flex h-14 items-center gap-4 border-b bg-background px-6 md:hidden">
<Sheet open={mobileMenuOpen} onOpenChange={setMobileMenuOpen}>
<SheetTrigger asChild>
<Button variant="ghost" size="icon">
<Menu className="h-5 w-5" />
</Button>
</SheetTrigger>
<SheetContent side="left" className="w-64 p-0">
<div className="flex h-full flex-col">
<div className="flex h-14 items-center border-b px-6">
<img src="/logo.png" alt="Pricecious Logo" className="h-8 w-8 mr-2" />
<span className="text-xl font-bold bg-gradient-to-r from-primary to-primary/60 bg-clip-text text-transparent">
Pricecious
</span>
</div>
<nav className="flex-1 space-y-1 p-4">
{navItems.map((item) => {
const Icon = item.icon;
const isActive = location.pathname === item.path;
return (
<Link key={item.path} to={item.path} onClick={() => setMobileMenuOpen(false)}>
<Button
variant={isActive ? "secondary" : "ghost"}
className={cn("w-full justify-start gap-2", isActive && "bg-secondary")}
>
<Icon className="h-4 w-4" />
{item.label}
</Button>
</Link>
);
})}
</nav>
<div className="border-t p-4">
<Button
variant="ghost"
onClick={toggleTheme}
className="w-full justify-start gap-2"
>
{theme === 'dark' ? (
<>
<Sun className="h-4 w-4" />
<span>Light Mode</span>
</>
) : (
<>
<Moon className="h-4 w-4" />
<span>Dark Mode</span>
</>
)}
</Button>
</div>
</div>
</SheetContent>
</Sheet>
<Link to="/" className="flex items-center gap-2 font-semibold">
<img src="/logo.png" alt="Pricecious Logo" className="h-6 w-6" />
Pricecious
</Link>
<div className="ml-auto flex items-center gap-2">
<Button variant="ghost" size="icon" onClick={toggleTheme}>
{theme === 'dark' ? <Sun className="h-4 w-4" /> : <Moon className="h-4 w-4" />}
</Button>
</div>
</header>
{/* Main Content */}
<main className="flex-1 md:pl-64">
<div className="container py-6">
{children}
</div>
</main>
</div>
);
};
export default Layout;
frontend/src/components/ui/button.jsx
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import * as React from "react"
import { Slot } from "@radix-ui/react-slot"
import { cva } from "class-variance-authority"
import { cn } from "@/lib/utils"
const buttonVariants = cva(
"inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium ring-offset-background transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50",
{
variants: {
variant: {
default: "bg-primary text-primary-foreground hover:bg-primary/90",
destructive: "bg-destructive text-destructive-foreground hover:bg-destructive/90",
outline: "border border-input bg-background hover:bg-accent hover:text-accent-foreground",
secondary: "bg-secondary text-secondary-foreground hover:bg-secondary/80",
ghost: "hover:bg-accent hover:text-accent-foreground",
link: "text-primary underline-offset-4 hover:underline",
},
size: {
default: "h-10 px-4 py-2",
sm: "h-9 rounded-md px-3",
lg: "h-11 rounded-md px-8",
icon: "h-10 w-10",
},
},
defaultVariants: {
variant: "default",
size: "default",
},
}
)
const Button = React.forwardRef(({ className, variant, size, asChild = false, ...props }, ref) => {
const Comp = asChild ? Slot : "button"
return <Comp className={cn(buttonVariants({ variant, size, className }))} ref={ref} {...props} />
})
Button.displayName = "Button"
export { Button, buttonVariants }
frontend/src/components/ui/card.jsx
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import * as React from "react"
import { cn } from "@/lib/utils"
const Card = React.forwardRef(({ className, ...props }, ref) => (
<div
ref={ref}
className={cn(
"rounded-lg border bg-card text-card-foreground shadow-sm",
className
)}
{...props}
/>
))
Card.displayName = "Card"
const CardHeader = React.forwardRef(({ className, ...props }, ref) => (
<div
ref={ref}
className={cn("flex flex-col space-y-1.5 p-6", className)}
{...props}
/>
))
CardHeader.displayName = "CardHeader"
const CardTitle = React.forwardRef(({ className, ...props }, ref) => (
<h3
ref={ref}
className={cn(
"text-2xl font-semibold leading-none tracking-tight",
className
)}
{...props}
/>
))
CardTitle.displayName = "CardTitle"
const CardDescription = React.forwardRef(({ className, ...props }, ref) => (
<p
ref={ref}
className={cn("text-sm text-muted-foreground", className)}
{...props}
/>
))
CardDescription.displayName = "CardDescription"
const CardContent = React.forwardRef(({ className, ...props }, ref) => (
<div ref={ref} className={cn("p-6 pt-0", className)} {...props} />
))
CardContent.displayName = "CardContent"
const CardFooter = React.forwardRef(({ className, ...props }, ref) => (
<div
ref={ref}
className={cn("flex items-center p-6 pt-0", className)}
{...props}
/>
))
CardFooter.displayName = "CardFooter"
export { Card, CardHeader, CardFooter, CardTitle, CardDescription, CardContent }
frontend/src/components/ui/dialog.jsx
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import * as React from "react"
import * as DialogPrimitive from "@radix-ui/react-dialog"
import { X } from "lucide-react"
import { cn } from "@/lib/utils"
const Dialog = DialogPrimitive.Root
const DialogTrigger = DialogPrimitive.Trigger
const DialogPortal = DialogPrimitive.Portal
const DialogClose = DialogPrimitive.Close
const DialogOverlay = React.forwardRef(({ className, ...props }, ref) => (
<DialogPrimitive.Overlay
ref={ref}
className={cn(
"fixed inset-0 z-50 bg-black/80 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
className
)}
{...props}
/>
))
DialogOverlay.displayName = DialogPrimitive.Overlay.displayName
const DialogContent = React.forwardRef(({ className, children, ...props }, ref) => (
<DialogPortal>
<DialogOverlay />
<DialogPrimitive.Content
ref={ref}
className={cn(
"fixed left-[50%] top-[50%] z-50 grid w-full max-w-lg translate-x-[-50%] translate-y-[-50%] gap-4 border bg-background p-6 shadow-lg duration-200 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] data-[state=open]:slide-in-from-left-1/2 data-[state=open]:slide-in-from-top-[48%] sm:rounded-lg",
className
)}
{...props}
>
{children}
<DialogPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none data-[state=open]:bg-accent data-[state=open]:text-muted-foreground">
<X className="h-4 w-4" />
<span className="sr-only">Close</span>
</DialogPrimitive.Close>
</DialogPrimitive.Content>
</DialogPortal>
))
DialogContent.displayName = DialogPrimitive.Content.displayName
const DialogHeader = ({
className,
...props
}) => (
<div
className={cn(
"flex flex-col space-y-1.5 text-center sm:text-left",
className
)}
{...props}
/>
)
DialogHeader.displayName = "DialogHeader"
const DialogFooter = ({
className,
...props
}) => (
<div
className={cn(
"flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
className
)}
{...props}
/>
)
DialogFooter.displayName = "DialogFooter"
const DialogTitle = React.forwardRef(({ className, ...props }, ref) => (
<DialogPrimitive.Title
ref={ref}
className={cn(
"text-lg font-semibold leading-none tracking-tight",
className
)}
{...props}
/>
))
DialogTitle.displayName = DialogPrimitive.Title.displayName
const DialogDescription = React.forwardRef(({ className, ...props }, ref) => (
<DialogPrimitive.Description
ref={ref}
className={cn("text-sm text-muted-foreground", className)}
{...props}
/>
))
DialogDescription.displayName = DialogPrimitive.Description.displayName
export {
Dialog,
DialogPortal,
DialogOverlay,
DialogClose,
DialogTrigger,
DialogContent,
DialogHeader,
DialogFooter,
DialogTitle,
DialogDescription,
}
frontend/src/components/ui/input.jsx
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import * as React from "react"
import { cn } from "@/lib/utils"
const Input = React.forwardRef(({ className, type, ...props }, ref) => {
return (
<input
type={type}
className={cn(
"flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50",
className
)}
ref={ref}
{...props}
/>
)
})
Input.displayName = "Input"
export { Input }
frontend/src/components/ui/label.jsx
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import * as React from "react"
import * as LabelPrimitive from "@radix-ui/react-label"
import { cva } from "class-variance-authority"
import { cn } from "@/lib/utils"
const labelVariants = cva(
"text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
)
const Label = React.forwardRef(({ className, ...props }, ref) => (
<LabelPrimitive.Root
ref={ref}
className={cn(labelVariants(), className)}
{...props}
/>
))
Label.displayName = LabelPrimitive.Root.displayName
export { Label }
frontend/src/components/ui/marquee.jsx
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import React, { useState, useEffect, useRef } from 'react'
import { cn } from '@/lib/utils'
export function Marquee({ text, className }) {
const [isOverflowing, setIsOverflowing] = useState(false);
const containerRef = useRef(null);
const textRef = useRef(null);
useEffect(() => {
const checkOverflow = () => {
if (containerRef.current && textRef.current) {
const isOver = textRef.current.scrollWidth > containerRef.current.clientWidth;
setIsOverflowing(isOver);
if (isOver) {
const distance = textRef.current.scrollWidth + 32; // 32px gap
containerRef.current.style.setProperty('--marquee-duration', `${distance / 40}s`); // 40px/s speed
containerRef.current.style.setProperty('--marquee-distance', `${distance}px`);
}
}
};
checkOverflow();
window.addEventListener('resize', checkOverflow);
return () => window.removeEventListener('resize', checkOverflow);
}, [text]);
return (
<div ref={containerRef} className={cn("overflow-hidden w-full group", className)}>
<div
ref={textRef}
className={cn("whitespace-nowrap flex gap-8", isOverflowing && "group-hover:animate-scroll")}
>
<span>{text}</span>
{isOverflowing && <span aria-hidden="true">{text}</span>}
</div>
</div>
);
}
frontend/src/components/ui/select.jsx
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import * as React from "react"
import * as SelectPrimitive from "@radix-ui/react-select"
import { Check, ChevronDown, ChevronUp } from "lucide-react"
import { cn } from "@/lib/utils"
const Select = SelectPrimitive.Root
const SelectGroup = SelectPrimitive.Group
const SelectValue = SelectPrimitive.Value
const SelectTrigger = React.forwardRef(({ className, children, ...props }, ref) => (
<SelectPrimitive.Trigger
ref={ref}
className={cn(
"flex h-10 w-full items-center justify-between rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background placeholder:text-muted-foreground focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:cursor-not-allowed disabled:opacity-50 [&>span]:line-clamp-1",
className
)}
{...props}
>
{children}
<SelectPrimitive.Icon asChild>
<ChevronDown className="h-4 w-4 opacity-50" />
</SelectPrimitive.Icon>
</SelectPrimitive.Trigger>
))
SelectTrigger.displayName = SelectPrimitive.Trigger.displayName
const SelectScrollUpButton = React.forwardRef(({ className, ...props }, ref) => (
<SelectPrimitive.ScrollUpButton
ref={ref}
className={cn(
"flex cursor-default items-center justify-center py-1",
className
)}
{...props}
>
<ChevronUp className="h-4 w-4" />
</SelectPrimitive.ScrollUpButton>
))
SelectScrollUpButton.displayName = SelectPrimitive.ScrollUpButton.displayName
const SelectScrollDownButton = React.forwardRef(({ className, ...props }, ref) => (
<SelectPrimitive.ScrollDownButton
ref={ref}
className={cn(
"flex cursor-default items-center justify-center py-1",
className
)}
{...props}
>
<ChevronDown className="h-4 w-4" />
</SelectPrimitive.ScrollDownButton>
))
SelectScrollDownButton.displayName =
SelectPrimitive.ScrollDownButton.displayName
const SelectContent = React.forwardRef(({ className, children, position = "popper", ...props }, ref) => (
<SelectPrimitive.Portal>
<SelectPrimitive.Content
ref={ref}
className={cn(
"relative z-50 max-h-96 min-w-[8rem] overflow-hidden rounded-md border bg-popover text-popover-foreground shadow-md data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
position === "popper" &&
"data-[side=bottom]:translate-y-1 data-[side=left]:-translate-x-1 data-[side=right]:translate-x-1 data-[side=top]:-translate-y-1",
className
)}
position={position}
{...props}
>
<SelectScrollUpButton />
<SelectPrimitive.Viewport
className={cn(
"p-1",
position === "popper" &&
"h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)]"
)}
>
{children}
</SelectPrimitive.Viewport>
<SelectScrollDownButton />
</SelectPrimitive.Content>
</SelectPrimitive.Portal>
))
SelectContent.displayName = SelectPrimitive.Content.displayName
const SelectLabel = React.forwardRef(({ className, ...props }, ref) => (
<SelectPrimitive.Label
ref={ref}
className={cn("py-1.5 pl-8 pr-2 text-sm font-semibold", className)}
{...props}
/>
))
SelectLabel.displayName = SelectPrimitive.Label.displayName
const SelectItem = React.forwardRef(({ className, children, ...props }, ref) => (
<SelectPrimitive.Item
ref={ref}
className={cn(
"relative flex w-full cursor-default select-none items-center rounded-sm py-1.5 pl-8 pr-2 text-sm outline-none focus:bg-accent focus:text-accent-foreground data-[disabled]:pointer-events-none data-[disabled]:opacity-50",
className
)}
{...props}
>
<span className="absolute left-2 flex h-3.5 w-3.5 items-center justify-center">
<SelectPrimitive.ItemIndicator>
<Check className="h-4 w-4" />
</SelectPrimitive.ItemIndicator>
</span>
<SelectPrimitive.ItemText>{children}</SelectPrimitive.ItemText>
</SelectPrimitive.Item>
))
SelectItem.displayName = SelectPrimitive.Item.displayName
const SelectSeparator = React.forwardRef(({ className, ...props }, ref) => (
<SelectPrimitive.Separator
ref={ref}
className={cn("-mx-1 my-1 h-px bg-muted", className)}
{...props}
/>
))
SelectSeparator.displayName = SelectPrimitive.Separator.displayName
export {
Select,
SelectGroup,
SelectValue,
SelectTrigger,
SelectContent,
SelectLabel,
SelectItem,
SelectSeparator,
SelectScrollUpButton,
SelectScrollDownButton,
}
frontend/src/components/ui/sheet.jsx
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import * as React from "react"
import * as SheetPrimitive from "@radix-ui/react-dialog"
import { cva } from "class-variance-authority"
import { X } from "lucide-react"
import { cn } from "@/lib/utils"
const Sheet = SheetPrimitive.Root
const SheetTrigger = SheetPrimitive.Trigger
const SheetClose = SheetPrimitive.Close
const SheetPortal = SheetPrimitive.Portal
const SheetOverlay = React.forwardRef(({ className, ...props }, ref) => (
<SheetPrimitive.Overlay
className={cn(
"fixed inset-0 z-50 bg-black/80 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
className
)}
{...props}
ref={ref}
/>
))
SheetOverlay.displayName = SheetPrimitive.Overlay.displayName
const sheetVariants = cva(
"fixed z-50 gap-4 bg-background p-6 shadow-lg transition ease-in-out data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:duration-300 data-[state=open]:duration-500",
{
variants: {
side: {
top: "inset-x-0 top-0 border-b data-[state=closed]:slide-out-to-top data-[state=open]:slide-in-from-top",
bottom:
"inset-x-0 bottom-0 border-t data-[state=closed]:slide-out-to-bottom data-[state=open]:slide-in-from-bottom",
left: "inset-y-0 left-0 h-full w-3/4 border-r data-[state=closed]:slide-out-to-left data-[state=open]:slide-in-from-left sm:max-w-sm",
right:
"inset-y-0 right-0 h-full w-3/4 border-l data-[state=closed]:slide-out-to-right data-[state=open]:slide-in-from-right sm:max-w-sm",
},
},
defaultVariants: {
side: "right",
},
}
)
const SheetContent = React.forwardRef(({ side = "right", className, children, ...props }, ref) => (
<SheetPortal>
<SheetOverlay />
<SheetPrimitive.Content ref={ref} className={cn(sheetVariants({ side }), className)} {...props}>
{children}
<SheetPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none data-[state=open]:bg-secondary">
<X className="h-4 w-4" />
<span className="sr-only">Close</span>
</SheetPrimitive.Close>
</SheetPrimitive.Content>
</SheetPortal>
))
SheetContent.displayName = SheetPrimitive.Content.displayName
const SheetHeader = ({
className,
...props
}) => (
<div
className={cn(
"flex flex-col space-y-2 text-center sm:text-left",
className
)}
{...props}
/>
)
SheetHeader.displayName = "SheetHeader"
const SheetFooter = ({
className,
...props
}) => (
<div
className={cn(
"flex flex-col-reverse sm:flex-row sm:justify-end sm:space-x-2",
className
)}
{...props}
/>
)
SheetFooter.displayName = "SheetFooter"
const SheetTitle = React.forwardRef(({ className, ...props }, ref) => (
<SheetPrimitive.Title
ref={ref}
className={cn("text-lg font-semibold text-foreground", className)}
{...props}
/>
))
SheetTitle.displayName = SheetPrimitive.Title.displayName
const SheetDescription = React.forwardRef(({ className, ...props }, ref) => (
<SheetPrimitive.Description
ref={ref}
className={cn("text-sm text-muted-foreground", className)}
{...props}
/>
))
SheetDescription.displayName = SheetPrimitive.Description.displayName
export {
Sheet,
SheetPortal,
SheetOverlay,
SheetTrigger,
SheetClose,
SheetContent,
SheetHeader,
SheetFooter,
SheetTitle,
SheetDescription,
}
frontend/src/components/ui/slider.jsx
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import React from 'react';
import { cn } from '@/lib/utils';
const Slider = React.forwardRef(({ className, ...props }, ref) => (
<input
type="range"
className={cn(
"w-full h-2 bg-zinc-200 rounded-lg appearance-none cursor-pointer dark:bg-zinc-700 accent-primary",
className
)}
ref={ref}
{...props}
/>
));
Slider.displayName = "Slider";
export { Slider };
frontend/src/components/ui/switch.jsx
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import * as React from "react"
import * as SwitchPrimitive from "@radix-ui/react-switch"
import { cn } from "@/lib/utils"
const Switch = React.forwardRef(({ className, ...props }, ref) => (
<SwitchPrimitive.Root
className={cn(
"peer inline-flex h-6 w-11 shrink-0 cursor-pointer items-center rounded-full border-2 border-transparent transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 focus-visible:ring-offset-background disabled:cursor-not-allowed disabled:opacity-50 data-[state=checked]:bg-primary data-[state=unchecked]:bg-input",
className
)}
{...props}
ref={ref}
>
<SwitchPrimitive.Thumb
className={cn(
"pointer-events-none block h-5 w-5 rounded-full bg-background shadow-lg ring-0 transition-transform data-[state=checked]:translate-x-5 data-[state=unchecked]:translate-x-0"
)}
/>
</SwitchPrimitive.Root>
))
Switch.displayName = SwitchPrimitive.Root.displayName
export { Switch }
frontend/src/hooks/use-theme.js
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import { useState, useEffect } from 'react';
export function useTheme() {
const [theme, setTheme] = useState(localStorage.getItem('theme') || 'dark');
useEffect(() => {
const root = window.document.documentElement;
root.classList.remove('light', 'dark');
root.classList.add(theme);
localStorage.setItem('theme', theme);
}, [theme]);
const toggleTheme = () => setTheme(prev => prev === 'dark' ? 'light' : 'dark');
return { theme, toggleTheme };
}
frontend/src/index.css
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@tailwind base;
@tailwind components;
@tailwind utilities;
@layer base {
:root {
--background: 0 0% 100%;
--foreground: 240 10% 3.9%;
--card: 0 0% 100%;
--card-foreground: 240 10% 3.9%;
--popover: 0 0% 100%;
--popover-foreground: 240 10% 3.9%;
--primary: 240 5.9% 10%;
--primary-foreground: 0 0% 98%;
--secondary: 240 4.8% 95.9%;
--secondary-foreground: 240 5.9% 10%;
--muted: 240 4.8% 95.9%;
--muted-foreground: 240 3.8% 46.1%;
--accent: 240 4.8% 95.9%;
--accent-foreground: 240 5.9% 10%;
--destructive: 0 84.2% 60.2%;
--destructive-foreground: 0 0% 98%;
--border: 240 5.9% 90%;
--input: 240 5.9% 90%;
--ring: 240 10% 3.9%;
--radius: 0.5rem;
}
.dark {
--background: 240 10% 3.9%;
--foreground: 0 0% 98%;
--card: 240 10% 3.9%;
--card-foreground: 0 0% 98%;
--popover: 240 10% 3.9%;
--popover-foreground: 0 0% 98%;
--primary: 0 0% 98%;
--primary-foreground: 240 5.9% 10%;
--secondary: 240 3.7% 15.9%;
--secondary-foreground: 0 0% 98%;
--muted: 240 3.7% 15.9%;
--muted-foreground: 240 5% 64.9%;
--accent: 240 3.7% 15.9%;
--accent-foreground: 0 0% 98%;
--destructive: 0 62.8% 30.6%;
--destructive-foreground: 0 0% 98%;
--border: 240 3.7% 15.9%;
--input: 240 3.7% 15.9%;
--ring: 240 4.9% 83.9%;
}
}
@layer base {
* {
@apply border-border;
}
body {
@apply bg-background text-foreground;
}
}
frontend/src/lib/utils.js
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import { clsx } from "clsx"
import { twMerge } from "tailwind-merge"
export function cn(...inputs) {
return twMerge(clsx(inputs))
}
frontend/src/main.jsx
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import React from 'react'
import ReactDOM from 'react-dom/client'
import App from './App.jsx'
import './index.css'
ReactDOM.createRoot(document.getElementById('root')).render(
<React.StrictMode>
<App />
</React.StrictMode>,
)
frontend/src/pages/Dashboard.jsx
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import React, { useState, useEffect } from 'react';
import axios from 'axios';
import { toast } from 'sonner';
import { Plus, RefreshCw, Search, X } from 'lucide-react';
import { Button } from '@/components/ui/button';
import { Input } from '@/components/ui/input';
import { ItemCard } from '@/components/dashboard/ItemCard';
import { ItemModal } from '@/components/dashboard/ItemModal';
import { DeleteConfirmationModal } from '@/components/dashboard/DeleteConfirmationModal';
const API_URL = '/api';
export default function Dashboard() {
const [items, setItems] = useState([]);
const [searchTerm, setSearchTerm] = useState('');
const [showAddModal, setShowAddModal] = useState(false);
const [editingItem, setEditingItem] = useState(null);
const [itemToDelete, setItemToDelete] = useState(null);
const [zoomedImage, setZoomedImage] = useState(null);
const refreshItems = async () => {
try {
const response = await axios.get(`${API_URL}/items`);
const sortedItems = response.data.sort((a, b) => a.id - b.id);
setItems(sortedItems);
} catch (error) {
console.error('Error fetching items:', error);
toast.error('Failed to fetch items');
}
};
useEffect(() => {
refreshItems();
const interval = setInterval(refreshItems, 10000);
return () => clearInterval(interval);
}, []);
const handleCheck = async (id) => {
try {
toast.info('Check triggered...');
await axios.post(`${API_URL}/items/${id}/check`);
toast.success('Check started in background');
refreshItems();
} catch (error) {
console.error('Error triggering check:', error);
toast.error('Failed to trigger check');
}
};
const handleRefreshAll = async () => {
try {
toast.info('Triggering refresh for all items...');
setItems(prevItems => prevItems.map(item => ({ ...item, is_refreshing: true })));
await axios.post(`${API_URL}/jobs/refresh-all`);
toast.success('Refresh all started');
} catch (error) {
console.error('Error triggering refresh all:', error);
toast.error('Failed to trigger refresh all');
refreshItems();
}
};
const handleDelete = async () => {
if (!itemToDelete) return;
try {
await axios.delete(`${API_URL}/items/${itemToDelete.id}`);
toast.success('Item deleted');
refreshItems();
setItemToDelete(null);
} catch (error) {
console.error('Error deleting item:', error);
toast.error('Failed to delete item');
}
};
const filteredItems = items.filter(item => {
const term = searchTerm.toLowerCase();
return (
item.name.toLowerCase().includes(term) ||
item.url.toLowerCase().includes(term) ||
(item.tags && item.tags.toLowerCase().includes(term)) ||
(item.description && item.description.toLowerCase().includes(term))
);
});
return (
<div className="space-y-6 animate-in fade-in duration-500">
<div className="flex flex-col gap-4 md:flex-row md:items-center md:justify-between">
<div>
<h2 className="text-2xl font-bold tracking-tight">Dashboard</h2>
<p className="text-muted-foreground">Manage and monitor your product watchlist.</p>
</div>
<div className="flex items-center gap-2">
<div className="relative w-full md:w-64">
<Search className="absolute left-2 top-2.5 h-4 w-4 text-muted-foreground" />
<Input
placeholder="Search items..."
className="pl-8"
value={searchTerm}
onChange={(e) => setSearchTerm(e.target.value)}
/>
</div>
<Button variant="outline" onClick={handleRefreshAll}>
<RefreshCw className="mr-2 h-4 w-4" />
Refresh All
</Button>
<Button onClick={() => setShowAddModal(true)}>
<Plus className="mr-2 h-4 w-4" />
Add Item
</Button>
</div>
</div>
<div className="grid gap-6 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4">
{filteredItems.map(item => (
<ItemCard
key={item.id}
item={item}
onEdit={setEditingItem}
onDelete={setItemToDelete}
onCheck={handleCheck}
onZoom={setZoomedImage}
/>
))}
</div>
<ItemModal
open={showAddModal}
onClose={() => setShowAddModal(false)}
onSaved={refreshItems}
/>
<ItemModal
open={!!editingItem}
item={editingItem}
onClose={() => setEditingItem(null)}
onSaved={refreshItems}
/>
<DeleteConfirmationModal
open={!!itemToDelete}
item={itemToDelete}
onClose={() => setItemToDelete(null)}
onConfirm={handleDelete}
/>
{/* Image Zoom Modal */}
{zoomedImage && (
<div
className="fixed inset-0 z-50 flex items-center justify-center bg-black/80 backdrop-blur-sm p-4 animate-in fade-in duration-200"
onClick={() => setZoomedImage(null)}
>
<div className="relative max-h-full max-w-full">
<img
src={zoomedImage}
alt="Zoomed screenshot"
className="max-h-[90vh] max-w-[90vw] rounded-lg shadow-2xl"
/>
<Button
size="icon"
variant="secondary"
className="absolute -right-4 -top-4 rounded-full shadow-lg"
onClick={() => setZoomedImage(null)}
>
<X className="h-4 w-4" />
</Button>
</div>
</div>
)}
</div>
);
}
frontend/src/pages/Settings.jsx
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import React, { useState, useEffect } from 'react';
import axios from 'axios';
import { toast } from 'sonner';
import { Sun, Clock, Cpu, Settings as SettingsIcon, Bell, Trash2, ChevronDown, ChevronUp, Edit2, CheckCircle2, AlertCircle, TrendingDown, DollarSign, Package } from 'lucide-react';
import { Card, CardContent, CardHeader, CardTitle, CardDescription } from '@/components/ui/card';
import { Label } from '@/components/ui/label';
import { Input } from '@/components/ui/input';
import { Switch } from '@/components/ui/switch';
import { Button } from '@/components/ui/button';
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select';
import { Slider } from '@/components/ui/slider';
import { cn } from '@/lib/utils';
const API_URL = '/api';
export default function Settings() {
const [profiles, setProfiles] = useState([]);
const [jobConfig, setJobConfig] = useState({ refresh_interval_minutes: 60, next_run: null, running: false });
const [config, setConfig] = useState({
ai_provider: 'ollama',
ai_model: 'moondream',
ai_api_key: '',
ai_api_base: 'http://ollama:11434',
ai_temperature: 0.1,
ai_max_tokens: 300,
confidence_threshold_price: 0.5,
confidence_threshold_stock: 0.5,
enable_json_repair: true,
smart_scroll_enabled: false,
smart_scroll_pixels: 350,
text_context_enabled: false,
text_context_length: 5000,
scraper_timeout: 90000
});
const [newProfile, setNewProfile] = useState({
name: '',
apprise_url: '',
check_interval_minutes: 60,
notify_on_price_drop: true,
notify_on_target_price: true,
price_drop_threshold_percent: 10,
notify_on_stock_change: true
});
const [editingProfileId, setEditingProfileId] = useState(null);
const [showAdvancedAI, setShowAdvancedAI] = useState(false);
useEffect(() => {
fetchAll();
}, []);
const fetchAll = async () => {
try {
const [profilesRes, settingsRes, jobRes] = await Promise.all([
axios.get(`${API_URL}/notification-profiles`),
axios.get(`${API_URL}/settings`),
axios.get(`${API_URL}/jobs/config`)
]);
setProfiles(profilesRes.data);
setJobConfig(jobRes.data);
const settingsMap = {};
settingsRes.data.forEach(s => settingsMap[s.key] = s.value);
setConfig({
ai_provider: settingsMap['ai_provider'] || 'ollama',
ai_model: settingsMap['ai_model'] || 'moondream',
ai_api_key: settingsMap['ai_api_key'] || '',
ai_api_base: settingsMap['ai_api_base'] || 'http://ollama:11434',
ai_temperature: parseFloat(settingsMap['ai_temperature'] || '0.1'),
ai_max_tokens: parseInt(settingsMap['ai_max_tokens'] || '300'),
confidence_threshold_price: parseFloat(settingsMap['confidence_threshold_price'] || '0.5'),
confidence_threshold_stock: parseFloat(settingsMap['confidence_threshold_stock'] || '0.5'),
enable_json_repair: settingsMap['enable_json_repair'] !== 'false',
smart_scroll_enabled: settingsMap['smart_scroll_enabled'] === 'true',
smart_scroll_pixels: parseInt(settingsMap['smart_scroll_pixels'] || '350'),
text_context_enabled: settingsMap['text_context_enabled'] === 'true',
text_context_length: parseInt(settingsMap['text_context_length'] || '5000'),
scraper_timeout: parseInt(settingsMap['scraper_timeout'] || '90000')
});
} catch (error) {
toast.error('Failed to fetch settings');
}
};
const updateSetting = async (key, value) => {
try {
await axios.post(`${API_URL}/settings`, { key, value: value.toString() });
setConfig(prev => ({ ...prev, [key]: value }));
toast.success('Setting updated');
} catch (error) {
toast.error('Failed to update setting');
}
};
const updateJobConfig = async () => {
try {
await axios.post(`${API_URL}/jobs/config`, {
key: 'refresh_interval_minutes',
value: jobConfig.refresh_interval_minutes.toString()
});
toast.success('Job configuration updated');
fetchAll();
} catch (error) {
toast.error('Failed to update job config');
}
};
const handleProfileSubmit = async (e) => {
e.preventDefault();
try {
if (editingProfileId) {
await axios.put(`${API_URL}/notification-profiles/${editingProfileId}`, newProfile);
toast.success('Profile updated');
} else {
await axios.post(`${API_URL}/notification-profiles`, newProfile);
toast.success('Profile created');
}
setNewProfile({
name: '',
apprise_url: '',
check_interval_minutes: 60,
notify_on_price_drop: true,
notify_on_target_price: true,
price_drop_threshold_percent: 10,
notify_on_stock_change: true
});
setEditingProfileId(null);
fetchAll();
} catch (error) {
toast.error(editingProfileId ? 'Failed to update profile' : 'Failed to create profile');
}
};
const editProfile = (profile) => {
setNewProfile({
name: profile.name,
apprise_url: profile.apprise_url,
check_interval_minutes: profile.check_interval_minutes,
notify_on_price_drop: profile.notify_on_price_drop,
notify_on_target_price: profile.notify_on_target_price,
price_drop_threshold_percent: profile.price_drop_threshold_percent,
notify_on_stock_change: profile.notify_on_stock_change
});
setEditingProfileId(profile.id);
window.scrollTo({ top: document.body.scrollHeight, behavior: 'smooth' });
};
const cancelEdit = () => {
setNewProfile({
name: '',
apprise_url: '',
check_interval_minutes: 60,
notify_on_price_drop: true,
notify_on_target_price: true,
price_drop_threshold_percent: 10,
notify_on_stock_change: true
});
setEditingProfileId(null);
};
const deleteProfile = async (id) => {
if (confirm('Are you sure you want to delete this profile?')) {
try {
await axios.delete(`${API_URL}/notification-profiles/${id}`);
toast.success('Profile deleted');
if (editingProfileId === id) {
cancelEdit();
}
fetchAll();
} catch (error) {
toast.error('Failed to delete profile');
}
}
};
return (
<div className="space-y-6 animate-in fade-in duration-500 max-w-5xl mx-auto pb-10">
<div>
<h2 className="text-2xl font-bold tracking-tight">Settings</h2>
<p className="text-muted-foreground">Configure application preferences and notifications.</p>
</div>
{/* AI Configuration */}
<Card>
<CardHeader>
<CardTitle className="flex items-center gap-2"><Cpu className="h-5 w-5" />AI Configuration</CardTitle>
<CardDescription>Configure the AI model used for analyzing product pages.</CardDescription>
</CardHeader>
<CardContent className="space-y-6">
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="space-y-2">
<Label>Provider</Label>
<Select value={config.ai_provider} onValueChange={(val) => updateSetting('ai_provider', val)}>
<SelectTrigger><SelectValue /></SelectTrigger>
<SelectContent>
<SelectItem value="ollama">Ollama</SelectItem>
<SelectItem value="openai">OpenAI</SelectItem>
<SelectItem value="anthropic">Anthropic</SelectItem>
</SelectContent>
</Select>
</div>
<div className="space-y-2">
<Label>Model</Label>
<Input value={config.ai_model} onChange={(e) => updateSetting('ai_model', e.target.value)} placeholder="e.g., moondream" />
</div>
</div>
<div className="space-y-2">
<Label>API Key</Label>
<Input type="password" value={config.ai_api_key} onChange={(e) => updateSetting('ai_api_key', e.target.value)} placeholder="Optional for local models" />
</div>
<div className="pt-2">
<Button
variant="outline"
size="sm"
className="w-full flex items-center justify-between"
onClick={() => setShowAdvancedAI(!showAdvancedAI)}
>
<span>Advanced Settings</span>
{showAdvancedAI ? <ChevronUp className="h-4 w-4" /> : <ChevronDown className="h-4 w-4" />}
</Button>
</div>
{showAdvancedAI && (
<div className="space-y-6 pt-4 animate-in slide-in-from-top-2 duration-200">
<div className="space-y-2">
<Label>API Base URL</Label>
<Input value={config.ai_api_base} onChange={(e) => updateSetting('ai_api_base', e.target.value)} />
</div>
<div className="grid grid-cols-1 md:grid-cols-2 gap-8">
<div className="space-y-4">
<div className="space-y-2">
<div className="flex justify-between">
<Label>Temperature</Label>
<span className="text-xs text-muted-foreground">{config.ai_temperature}</span>
</div>
<Slider
min={0}
max={1}
step={0.1}
value={config.ai_temperature}
onChange={(e) => updateSetting('ai_temperature', parseFloat(e.target.value))}
/>
</div>
<div className="space-y-2">
<div className="flex justify-between">
<Label>Price Confidence Threshold</Label>
<span className="text-xs text-muted-foreground">{config.confidence_threshold_price}</span>
</div>
<Slider
min={0}
max={1}
step={0.1}
value={config.confidence_threshold_price}
onChange={(e) => updateSetting('confidence_threshold_price', parseFloat(e.target.value))}
/>
</div>
<div className="space-y-2">
<div className="flex justify-between">
<Label>Stock Confidence Threshold</Label>
<span className="text-xs text-muted-foreground">{config.confidence_threshold_stock}</span>
</div>
<Slider
min={0}
max={1}
step={0.1}
value={config.confidence_threshold_stock}
onChange={(e) => updateSetting('confidence_threshold_stock', parseFloat(e.target.value))}
/>
</div>
</div>
<div className="space-y-4">
<div className="space-y-2">
<Label>Max Tokens</Label>
<Input type="number" value={config.ai_max_tokens} onChange={(e) => updateSetting('ai_max_tokens', parseInt(e.target.value))} />
</div>
<div className="flex items-center justify-between pt-2">
<Label htmlFor="json_repair">Enable JSON Repair</Label>
<Switch id="json_repair" checked={config.enable_json_repair} onCheckedChange={(checked) => updateSetting('enable_json_repair', checked)} />
</div>
</div>
</div>
</div>
)}
</CardContent>
</Card>
{/* Scraper Configuration */}
<Card>
<CardHeader>
<CardTitle className="flex items-center gap-2"><SettingsIcon className="h-5 w-5" />Scraper Configuration</CardTitle>
<CardDescription>Configure how the scraper interacts with web pages.</CardDescription>
</CardHeader>
<CardContent className="space-y-4">
<div className="flex items-center justify-between">
<div>
<Label>Smart Scroll</Label>
<p className="text-sm text-muted-foreground">Scroll down to trigger lazy loading.</p>
</div>
<Switch checked={config.smart_scroll_enabled} onCheckedChange={(checked) => updateSetting('smart_scroll_enabled', checked)} />
</div>
{config.smart_scroll_enabled && (
<div className="space-y-2">
<Label>Scroll Pixels</Label>
<Input type="number" value={config.smart_scroll_pixels} onChange={(e) => updateSetting('smart_scroll_pixels', parseInt(e.target.value))} />
</div>
)}
<div className="flex items-center justify-between">
<div>
<Label>Text Context</Label>
<p className="text-sm text-muted-foreground">Send page text to AI along with screenshot.</p>
</div>
<Switch checked={config.text_context_enabled} onCheckedChange={(checked) => updateSetting('text_context_enabled', checked)} />
</div>
{config.text_context_enabled && (
<div className="space-y-2">
<Label>Max Text Length</Label>
<Input type="number" value={config.text_context_length} onChange={(e) => updateSetting('text_context_length', parseInt(e.target.value))} />
</div>
)}
<div className="space-y-2">
<Label>Timeout (ms)</Label>
<Input type="number" value={config.scraper_timeout} onChange={(e) => updateSetting('scraper_timeout', parseInt(e.target.value))} />
</div>
</CardContent>
</Card>
{/* Job Configuration */}
<Card>
<CardHeader>
<CardTitle className="flex items-center gap-2"><Clock className="h-5 w-5" />Automated Refresh Job</CardTitle>
<CardDescription>Configure the background job that checks for price updates.</CardDescription>
</CardHeader>
<CardContent className="space-y-4">
<div className="space-y-2">
<Label>Refresh Interval (Minutes)</Label>
<Input type="number" min="1" value={jobConfig.refresh_interval_minutes} onChange={(e) => setJobConfig({ ...jobConfig, refresh_interval_minutes: e.target.value })} />
</div>
<div className="text-sm text-muted-foreground space-y-1">
<p>Next run: {jobConfig.next_run ? new Date(jobConfig.next_run).toLocaleString() : 'Not scheduled'}</p>
<p>Status: {jobConfig.running ? 'Running' : 'Idle'}</p>
</div>
<Button onClick={updateJobConfig}>Save Job Config</Button>
</CardContent>
</Card>
{/* Notification Profiles */}
<Card>
<CardHeader>
<CardTitle className="flex items-center gap-2"><Bell className="h-5 w-5" />Notification Profiles</CardTitle>
<CardDescription>Manage notification settings for different groups of items.</CardDescription>
</CardHeader>
<CardContent className="space-y-8">
<form onSubmit={handleProfileSubmit} className="space-y-4 border-b pb-8">
<div className="flex items-center justify-between">
<h4 className="text-sm font-medium">{editingProfileId ? 'Edit Profile' : 'Create New Profile'}</h4>
{editingProfileId && (
<Button type="button" variant="ghost" size="sm" onClick={cancelEdit}>Cancel Edit</Button>
)}
</div>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="space-y-2">
<Label>Name</Label>
<Input required value={newProfile.name} onChange={(e) => setNewProfile({ ...newProfile, name: e.target.value })} placeholder="e.g., Email Alerts" />
</div>
<div className="space-y-2">
<Label>Apprise URL</Label>
<Input required value={newProfile.apprise_url} onChange={(e) => setNewProfile({ ...newProfile, apprise_url: e.target.value })} placeholder="mailto://user:pass@gmail.com" />
</div>
</div>
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
<div className="space-y-2">
<Label>Check Interval (Minutes)</Label>
<Input type="number" min="1" value={newProfile.check_interval_minutes} onChange={(e) => setNewProfile({ ...newProfile, check_interval_minutes: parseInt(e.target.value) })} />
</div>
<div className="space-y-2">
<Label>Price Drop Threshold (%)</Label>
<Input type="number" min="1" max="100" value={newProfile.price_drop_threshold_percent} onChange={(e) => setNewProfile({ ...newProfile, price_drop_threshold_percent: parseFloat(e.target.value) })} />
</div>
</div>
<div className="flex flex-wrap gap-4">
<div className="flex items-center space-x-2">
<Switch checked={newProfile.notify_on_price_drop} onCheckedChange={(checked) => setNewProfile({ ...newProfile, notify_on_price_drop: checked })} />
<Label>Notify on Drop</Label>
</div>
<div className="flex items-center space-x-2">
<Switch checked={newProfile.notify_on_target_price} onCheckedChange={(checked) => setNewProfile({ ...newProfile, notify_on_target_price: checked })} />
<Label>Notify on Target</Label>
</div>
<div className="flex items-center space-x-2">
<Switch checked={newProfile.notify_on_stock_change} onCheckedChange={(checked) => setNewProfile({ ...newProfile, notify_on_stock_change: checked })} />
<Label>Notify on Stock Change</Label>
</div>
</div>
<Button type="submit">{editingProfileId ? 'Update Profile' : 'Create Profile'}</Button>
</form>
<div className="space-y-4">
<h4 className="text-sm font-medium">Existing Profiles</h4>
{profiles.length === 0 ? (
<p className="text-sm text-muted-foreground">No profiles created yet.</p>
) : (
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
{profiles.map(profile => (
<div key={profile.id} className={cn(
"relative group overflow-hidden rounded-xl border bg-card text-card-foreground shadow transition-all hover:shadow-md",
editingProfileId === profile.id && "ring-2 ring-primary"
)}>
<div className="p-6 space-y-4">
<div className="flex items-start justify-between">
<div>
<h3 className="font-semibold leading-none tracking-tight">{profile.name}</h3>
<p className="text-sm text-muted-foreground mt-1 truncate max-w-[200px]" title={profile.apprise_url}>{profile.apprise_url}</p>
</div>
<div className="flex items-center gap-1 opacity-0 group-hover:opacity-100 transition-opacity">
<Button variant="ghost" size="icon" className="h-8 w-8" onClick={() => editProfile(profile)}>
<Edit2 className="h-4 w-4" />
</Button>
<Button variant="ghost" size="icon" className="h-8 w-8 text-destructive hover:text-destructive" onClick={() => deleteProfile(profile.id)}>
<Trash2 className="h-4 w-4" />
</Button>
</div>
</div>
<div className="grid grid-cols-2 gap-4 text-sm">
<div className="flex items-center gap-2">
<Clock className="h-4 w-4 text-muted-foreground" />
<span>{profile.check_interval_minutes}m interval</span>
</div>
<div className="flex items-center gap-2">
<TrendingDown className="h-4 w-4 text-muted-foreground" />
<span>{profile.price_drop_threshold_percent}% drop</span>
</div>
</div>
<div className="flex flex-wrap gap-2 pt-2">
{profile.notify_on_price_drop && (
<span className="inline-flex items-center rounded-full border px-2.5 py-0.5 text-xs font-semibold transition-colors focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 border-transparent bg-secondary text-secondary-foreground hover:bg-secondary/80">
<DollarSign className="mr-1 h-3 w-3" /> Price Drop
</span>
)}
{profile.notify_on_target_price && (
<span className="inline-flex items-center rounded-full border px-2.5 py-0.5 text-xs font-semibold transition-colors focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 border-transparent bg-secondary text-secondary-foreground hover:bg-secondary/80">
<CheckCircle2 className="mr-1 h-3 w-3" /> Target Hit
</span>
)}
{profile.notify_on_stock_change && (
<span className="inline-flex items-center rounded-full border px-2.5 py-0.5 text-xs font-semibold transition-colors focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 border-transparent bg-secondary text-secondary-foreground hover:bg-secondary/80">
<Package className="mr-1 h-3 w-3" /> Stock Change
</span>
)}
</div>
</div>
<div className="absolute top-0 right-0 p-6 opacity-5 pointer-events-none">
<Bell className="h-24 w-24" />
</div>
</div>
))}
</div>
)}
</div>
</CardContent>
</Card>
</div>
);
}
frontend/tailwind.config.js
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/** @type {import('tailwindcss').Config} */
export default {
darkMode: ["class"],
content: [
'./pages/**/*.{js,jsx}',
'./components/**/*.{js,jsx}',
'./app/**/*.{js,jsx}',
'./src/**/*.{js,jsx}',
],
theme: {
container: {
center: true,
padding: "2rem",
screens: {
"2xl": "1400px",
},
},
extend: {
colors: {
border: "hsl(var(--border))",
input: "hsl(var(--input))",
ring: "hsl(var(--ring))",
background: "hsl(var(--background))",
foreground: "hsl(var(--foreground))",
primary: {
DEFAULT: "hsl(var(--primary))",
foreground: "hsl(var(--primary-foreground))",
},
secondary: {
DEFAULT: "hsl(var(--secondary))",
foreground: "hsl(var(--secondary-foreground))",
},
destructive: {
DEFAULT: "hsl(var(--destructive))",
foreground: "hsl(var(--destructive-foreground))",
},
muted: {
DEFAULT: "hsl(var(--muted))",
foreground: "hsl(var(--muted-foreground))",
},
accent: {
DEFAULT: "hsl(var(--accent))",
foreground: "hsl(var(--accent-foreground))",
},
popover: {
DEFAULT: "hsl(var(--popover))",
foreground: "hsl(var(--popover-foreground))",
},
card: {
DEFAULT: "hsl(var(--card))",
foreground: "hsl(var(--card-foreground))",
},
},
borderRadius: {
lg: "var(--radius)",
md: "calc(var(--radius) - 2px)",
sm: "calc(var(--radius) - 4px)",
},
keyframes: {
"accordion-down": {
from: { height: "0" },
to: { height: "var(--radix-accordion-content-height)" },
},
"accordion-up": {
from: { height: "var(--radix-accordion-content-height)" },
to: { height: "0" },
},
"scroll": {
"0%": { transform: "translateX(0)" },
"100%": { transform: "translateX(-100%)" },
}
},
animation: {
"accordion-down": "accordion-down 0.2s ease-out",
"accordion-up": "accordion-up 0.2s ease-out",
"scroll": "scroll 20s linear infinite",
},
},
},
plugins: [require("tailwindcss-animate")],
}
frontend/vite.config.js
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import path from "path"
import react from "@vitejs/plugin-react"
import { defineConfig } from "vite"
export default defineConfig({
plugins: [react()],
resolve: {
alias: {
"@": path.resolve(__dirname, "./src"),
},
},
})
pyproject.toml
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[project]
name = "pricecious-backend"
version = "0.1.0"
description = "Backend for Pricecious Price Tracker"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"fastapi",
"uvicorn",
"sqlalchemy",
"psycopg2-binary",
"playwright",
"requests",
"pydantic",
"apprise",
"Pillow",
"apscheduler",
"python-multipart",
"pydantic-settings",
"aiofiles",
"litellm",
"alembic",
"tenacity",
"slowapi",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["app"]
[project.optional-dependencies]
dev = [
"pytest",
"pytest-asyncio",
"pytest-cov",
"ruff",
"httpx",
"mypy",
"bandit",
"pip-audit",
"pre-commit",
]
[tool.hatch.envs.default]
dependencies = [
"pytest",
"ruff",
"httpx",
]
[tool.ruff]
line-length = 120
target-version = "py312"
[tool.ruff.lint]
select = ["E", "F", "I", "W", "B", "UP", "PL", "RUF"]
ignore = []
[tool.ruff.lint.per-file-ignores]
"tests/*" = ["PLR2004"]
"app/routers/*" = ["B008"]
"app/main.py" = ["B008"]
[tool.pytest.ini_options]
pythonpath = ["."]
testpaths = ["tests"]
addopts = "--cov=app --cov-report=html --cov-report=term-missing"
asyncio_mode = "auto"
[tool.coverage.run]
source = ["app"]
omit = ["*/tests/*", "*/alembic/*"]
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"def __repr__",
"raise AssertionError",
"raise NotImplementedError",
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
"@abstractmethod",
]
[tool.mypy]
python_version = "3.12"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = false # Enable gradually
ignore_missing_imports = true
[tool.bandit]
exclude_dirs = ["tests", "app/alembic"]
skips = ["B101"] # Skip assert_used (common in tests)
tests/conftest.py
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import os
from unittest.mock import patch
import pytest
from fastapi.testclient import TestClient
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.pool import StaticPool
# Set env var before importing app.database
os.environ["DATABASE_URL"] = "sqlite:///:memory:"
from app.database import Base, get_db
from app.main import app
# Use in-memory SQLite for testing
SQLALCHEMY_DATABASE_URL = "sqlite:///:memory:"
engine = create_engine(
SQLALCHEMY_DATABASE_URL,
connect_args={"check_same_thread": False},
poolclass=StaticPool,
)
TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
@pytest.fixture(scope="function")
def db():
# Create tables
Base.metadata.create_all(bind=engine)
session = TestingSessionLocal()
try:
yield session
finally:
session.close()
# Drop tables
Base.metadata.drop_all(bind=engine)
@pytest.fixture(scope="function")
def client(db):
def override_get_db():
try:
yield db
finally:
pass
app.dependency_overrides[get_db] = override_get_db
# Mock scheduler to prevent event loop issues
# Mock SessionLocal to return the test session
# We need a factory that returns the session, but SessionLocal() creates a new session.
# So we mock SessionLocal to return a mock that acts like a session but is actually our test session.
# However, our test session is scoped to the function.
# A better approach is to use a separate engine for the background task or share the connection.
# Since we use SQLite in-memory, sharing connection is key.
# But process_item_check creates a NEW session.
# Let's mock SessionLocal to return a session bound to the SAME engine.
# But we are using StaticPool, so all sessions share the same connection.
# So we just need SessionLocal to return a session from TestingSessionLocal.
with (
patch("app.main.scheduler.start"),
patch("app.main.scheduler.shutdown"),
patch("app.database.SessionLocal", side_effect=TestingSessionLocal),
):
with TestClient(app) as c:
yield c
app.dependency_overrides.clear()
tests/test_ai_schema.py
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"""
Unit tests for AI schema validation and normalization.
"""
import pytest
from pydantic import ValidationError
from app.ai_schema import AIExtractionMetadata, AIExtractionResponse, get_extraction_prompt, get_repair_prompt
class TestAIExtractionResponse:
"""Test the AI extraction response schema."""
def test_valid_response(self):
"""Test that valid data passes validation."""
data = {
"price": 99.99,
"currency": "USD",
"in_stock": True,
"price_confidence": 0.95,
"in_stock_confidence": 0.90,
"source_type": "image",
}
response = AIExtractionResponse(**data)
assert response.price == 99.99
assert response.in_stock is True
assert response.price_confidence == 0.95
assert response.in_stock_confidence == 0.90
def test_null_price(self):
"""Test that null price is handled correctly."""
data = {
"price": None,
"in_stock": False,
"price_confidence": 0.2,
"in_stock_confidence": 0.8,
}
response = AIExtractionResponse(**data)
assert response.price is None
assert response.in_stock is False
def test_confidence_clamping_above(self):
"""Test that confidence values above 1.0 are clamped."""
data = {
"price": 50.0,
"in_stock": True,
"price_confidence": 1.5, # Should clamp to 1.0
"in_stock_confidence": 2.0, # Should clamp to 1.0
}
response = AIExtractionResponse(**data)
assert response.price_confidence == 1.0
assert response.in_stock_confidence == 1.0
def test_confidence_clamping_below(self):
"""Test that confidence values below 0.0 are clamped."""
data = {
"price": 50.0,
"in_stock": True,
"price_confidence": -0.5, # Should clamp to 0.0
"in_stock_confidence": -1.0, # Should clamp to 0.0
}
response = AIExtractionResponse(**data)
assert response.price_confidence == 0.0
assert response.in_stock_confidence == 0.0
def test_price_string_normalization(self):
"""Test that price strings are normalized to floats."""
data = {
"price": "$99.99",
"in_stock": True,
"price_confidence": 0.8,
"in_stock_confidence": 0.8,
}
response = AIExtractionResponse(**data)
assert response.price == 99.99
def test_price_string_with_commas(self):
"""Test that prices with commas are handled."""
data = {
"price": "$1,234.56",
"in_stock": True,
"price_confidence": 0.9,
"in_stock_confidence": 0.9,
}
response = AIExtractionResponse(**data)
assert response.price == 1234.56
def test_stock_string_normalization_true(self):
"""Test that stock status strings are normalized to booleans."""
test_cases = ["true", "True", "yes", "in stock", "available", "1"]
for value in test_cases:
data = {
"price": 10.0,
"in_stock": value,
"price_confidence": 0.8,
"in_stock_confidence": 0.8,
}
response = AIExtractionResponse(**data)
assert response.in_stock is True, f"Failed for value: {value}"
def test_stock_string_normalization_false(self):
"""Test that out-of-stock strings are normalized to False."""
test_cases = ["false", "False", "no", "out of stock", "unavailable", "0"]
for value in test_cases:
data = {
"price": 10.0,
"in_stock": value,
"price_confidence": 0.8,
"in_stock_confidence": 0.8,
}
response = AIExtractionResponse(**data)
assert response.in_stock is False, f"Failed for value: {value}"
def test_stock_ambiguous_string(self):
"""Test that ambiguous stock strings return None."""
data = {
"price": 10.0,
"in_stock": "maybe",
"price_confidence": 0.8,
"in_stock_confidence": 0.3,
}
response = AIExtractionResponse(**data)
assert response.in_stock is None
def test_default_currency(self):
"""Test that default currency is USD."""
data = {
"price": 10.0,
"in_stock": True,
"price_confidence": 0.8,
"in_stock_confidence": 0.8,
}
response = AIExtractionResponse(**data)
assert response.currency == "USD"
def test_default_source_type(self):
"""Test that default source type is 'image'."""
data = {
"price": 10.0,
"in_stock": True,
"price_confidence": 0.8,
"in_stock_confidence": 0.8,
}
response = AIExtractionResponse(**data)
assert response.source_type == "image"
def test_source_type_validation(self):
"""Test that source_type must be one of: image, text, both."""
with pytest.raises(ValidationError):
AIExtractionResponse(
price=10.0,
in_stock=True,
price_confidence=0.8,
in_stock_confidence=0.8,
source_type="invalid", # Should fail
)
class TestAIExtractionMetadata:
"""Test the AI extraction metadata schema."""
def test_valid_metadata(self):
"""Test that valid metadata passes validation."""
data = {
"model_name": "gpt-4o",
"provider": "openai",
"prompt_version": "v2.0",
"repair_used": False,
"multi_sample": False,
"sample_count": 1,
}
metadata = AIExtractionMetadata(**data)
assert metadata.model_name == "gpt-4o"
assert metadata.provider == "openai"
assert metadata.repair_used is False
def test_default_values(self):
"""Test that default values are set correctly."""
data = {
"model_name": "gemma3:4b",
"provider": "ollama",
}
metadata = AIExtractionMetadata(**data)
assert metadata.repair_used is False
assert metadata.multi_sample is False
assert metadata.sample_count == 1
class TestPromptGeneration:
"""Test prompt generation functions."""
def test_extraction_prompt_without_text(self):
"""Test extraction prompt without text context."""
prompt = get_extraction_prompt(None)
assert "Extract product price" in prompt
assert "JSON" in prompt
assert "price_confidence" in prompt
assert "**Relevant text from page:**" not in prompt
def test_extraction_prompt_with_text(self):
"""Test extraction prompt with text context."""
page_text = "Product is in stock for $99.99"
prompt = get_extraction_prompt(page_text)
assert "Extract product price" in prompt
assert "**Relevant text from page:**" in prompt
assert "$99.99" in prompt
def test_extraction_prompt_with_long_text(self):
"""Test that long text is truncated."""
page_text = "A" * 5000
prompt = get_extraction_prompt(page_text)
assert "**Relevant text from page:**" in prompt
assert "truncated" in prompt
def test_repair_prompt(self):
"""Test repair prompt generation."""
raw_output = "This is malformed JSON { price: 99.99 }"
prompt = get_repair_prompt(raw_output)
assert "Convert the following text" in prompt
assert raw_output in prompt
assert "JSON" in prompt
tests/test_api.py
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# Since we are using sync TestClient with async endpoints, FastAPI handles the loop.
# However, if we want to test async functions directly, we need pytest-asyncio.
# For API tests, TestClient is fine as it wraps the app.
def test_read_main(client):
response = client.get("/api/")
assert response.status_code == 200
assert response.json() == {"message": "Welcome to Pricecious API"}
def test_create_notification_profile(client):
response = client.post(
"/api/notification-profiles",
json={
"name": "Test Profile",
"apprise_url": "mailto://test@example.com",
"notify_on_price_drop": True,
"notify_on_target_price": True,
"price_drop_threshold_percent": 10.0,
"notify_on_stock_change": True,
"check_interval_minutes": 60,
},
)
assert response.status_code == 200
data = response.json()
assert data["name"] == "Test Profile"
assert "id" in data
def test_update_notification_profile(client):
# Create a profile first
response = client.post(
"/api/notification-profiles",
json={
"name": "Update Test Profile",
"apprise_url": "mailto://test@example.com",
},
)
profile_id = response.json()["id"]
# Update the profile
response = client.put(
f"/api/notification-profiles/{profile_id}",
json={
"name": "Updated Profile Name",
"apprise_url": "mailto://updated@example.com",
"notify_on_price_drop": False,
},
)
assert response.status_code == 200
data = response.json()
assert data["name"] == "Updated Profile Name"
assert data["apprise_url"] == "mailto://updated@example.com"
assert data["notify_on_price_drop"] is False
assert data["id"] == profile_id
def test_create_item(client):
# First create a profile
profile_response = client.post(
"/api/notification-profiles",
json={"name": "Test Profile 2", "apprise_url": "mailto://test@example.com"},
)
profile_id = profile_response.json()["id"]
response = client.post(
"/api/items",
json={
"url": "https://example.com/product",
"name": "Test Product",
"target_price": 100.0,
"notification_profile_id": profile_id,
},
)
assert response.status_code == 200
data = response.json()
assert data["name"] == "Test Product"
assert data["url"] == "https://example.com/product"
assert data["notification_profile_id"] == profile_id
def test_get_settings(client):
response = client.get("/api/settings")
assert response.status_code == 200
assert isinstance(response.json(), list)
def test_update_setting(client):
response = client.post("/api/settings", json={"key": "test_key", "value": "test_value"})
assert response.status_code == 200
data = response.json()
assert data["key"] == "test_key"
assert data["value"] == "test_value"
# Add test for check_item to ensure background task triggering works
# Note: This doesn't verify the background task execution, just the endpoint
def test_check_item_trigger(client):
# Create item first
response = client.post(
"/api/items",
json={"url": "https://example.com/check", "name": "Check Product", "target_price": 100.0},
)
item_id = response.json()["id"]
response = client.post(f"/api/items/{item_id}/check")
assert response.status_code == 200
assert response.json() == {"message": "Check triggered"}
tests/test_refresh_logic.py
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from unittest.mock import patch
from app import models
def test_refresh_all_sets_status(client, db):
# Create a profile
profile = models.NotificationProfile(name="Test Profile", apprise_url="mailto://test@example.com")
db.add(profile)
db.commit()
db.refresh(profile)
# Create items
item1 = models.Item(
url="https://example.com/1", name="Item 1", notification_profile_id=profile.id, is_refreshing=False
)
item2 = models.Item(
url="https://example.com/2", name="Item 2", notification_profile_id=profile.id, is_refreshing=False
)
db.add(item1)
db.add(item2)
db.commit()
# Mock process_item_check to prevent actual execution
with patch("app.routers.jobs.process_item_check") as mock_process:
response = client.post("/api/jobs/refresh-all")
assert response.status_code == 200
assert response.json()["message"] == "Triggered refresh for 2 items"
# Verify mock was called
assert mock_process.call_count == 2
# Verify items are marked as refreshing in DB
# We need to refresh the objects from the DB
db.refresh(item1)
db.refresh(item2)
assert item1.is_refreshing is True
assert item2.is_refreshing is True
tests/test_scheduler_error.py
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from datetime import UTC, datetime, timedelta
from unittest.mock import patch
import pytest
from app import models
from app.services.scheduler_service import process_item_check
@pytest.mark.asyncio
async def test_process_item_check_updates_last_checked_on_error(db):
# Create a profile
profile = models.NotificationProfile(name="Test Profile", apprise_url="mailto://test@example.com")
db.add(profile)
db.commit()
db.refresh(profile)
# Create item
item = models.Item(
url="https://example.com/error",
name="Error Item",
notification_profile_id=profile.id,
is_refreshing=True,
selector="body",
)
db.add(item)
db.commit()
db.refresh(item)
item_id = item.id
initial_last_checked = item.last_checked
# Create a session maker bound to the same engine as the test db
from sqlalchemy.orm import sessionmaker
connection = db.get_bind()
TestSession = sessionmaker(bind=connection)
# Mock ScraperService.scrape_item to raise an exception
# And patch SessionLocal to return our test session
with (
patch("app.services.scraper_service.ScraperService.scrape_item", side_effect=Exception("Scraper failed")),
patch("app.database.SessionLocal", side_effect=TestSession),
):
await process_item_check(item_id)
# Refresh item from DB
# We need to expire the object to reload from DB because the other session updated it
db.expire(item)
db.refresh(item)
# Assertions
assert item.is_refreshing is False
assert item.last_error == "Scraper failed"
assert item.last_checked is not None
if initial_last_checked:
assert item.last_checked > initial_last_checked
# Ensure last_checked is recent (within last minute)
assert datetime.now(UTC) - item.last_checked.replace(tzinfo=UTC) < timedelta(minutes=1)
tests/test_scraper.py
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"""
Unit tests for scraper module.
"""
from unittest.mock import AsyncMock, patch
import pytest
from app.services.scraper_service import ScraperService
class TestScraperInputValidation:
"""Test input validation in scraper."""
@pytest.mark.asyncio
async def test_invalid_scroll_pixels(self, caplog):
"""Test that invalid scroll_pixels is corrected."""
with patch("app.services.scraper_service.async_playwright") as mock_playwright:
# Mock the playwright context
mock_browser = AsyncMock()
mock_context = AsyncMock()
mock_page = AsyncMock()
mock_page.goto = AsyncMock()
mock_page.screenshot = AsyncMock()
mock_context.new_page = AsyncMock(return_value=mock_page)
mock_browser.new_context = AsyncMock(return_value=mock_context)
mock_browser.close = AsyncMock()
mock_pw = AsyncMock()
mock_pw.chromium.connect_over_cdp = AsyncMock(return_value=mock_browser)
mock_playwright.return_value.__aenter__.return_value = mock_pw
# Test with negative scroll_pixels
await ScraperService.scrape_item("https://example.com", scroll_pixels=-100)
# Check that warning was logged
assert "Invalid scroll_pixels value" in caplog.text
@pytest.mark.asyncio
async def test_invalid_timeout(self, caplog):
"""Test that invalid timeout is corrected."""
with patch("app.services.scraper_service.async_playwright") as mock_playwright:
mock_browser = AsyncMock()
mock_context = AsyncMock()
mock_page = AsyncMock()
mock_page.goto = AsyncMock()
mock_page.screenshot = AsyncMock()
mock_context.new_page = AsyncMock(return_value=mock_page)
mock_browser.new_context = AsyncMock(return_value=mock_context)
mock_browser.close = AsyncMock()
mock_pw = AsyncMock()
mock_pw.chromium.connect_over_cdp = AsyncMock(return_value=mock_browser)
mock_playwright.return_value.__aenter__.return_value = mock_pw
# Test with zero timeout
await ScraperService.scrape_item("https://example.com", timeout=0)
# Check that warning was logged
assert "Invalid timeout value" in caplog.text
class TestScraperScreenshot:
"""Test screenshot functionality."""
@pytest.mark.asyncio
async def test_screenshot_path_generation(self):
"""Test that screenshot paths are generated correctly."""
with patch("app.services.scraper_service.async_playwright") as mock_playwright:
mock_browser = AsyncMock()
mock_context = AsyncMock()
mock_page = AsyncMock()
mock_page.goto = AsyncMock()
mock_page.screenshot = AsyncMock()
mock_page.inner_text = AsyncMock(return_value="test text")
mock_context.new_page = AsyncMock(return_value=mock_page)
mock_browser.new_context = AsyncMock(return_value=mock_context)
mock_browser.close = AsyncMock()
mock_pw = AsyncMock()
mock_pw.chromium.connect_over_cdp = AsyncMock(return_value=mock_browser)
mock_playwright.return_value.__aenter__.return_value = mock_pw
# Test with item_id
path, _ = await ScraperService.scrape_item("https://example.com", item_id=123)
assert path == "screenshots/item_123.png"
mock_page.screenshot.assert_called_once_with(path="screenshots/item_123.png", full_page=False)
class TestScraperErrorHandling:
"""Test error handling in scraper."""
@pytest.mark.asyncio
async def test_connection_failure(self):
"""Test handling of connection failures."""
with patch("app.services.scraper_service.async_playwright") as mock_playwright:
mock_pw = AsyncMock()
mock_pw.chromium.connect_over_cdp = AsyncMock(side_effect=Exception("Connection failed"))
mock_playwright.return_value.__aenter__.return_value = mock_pw
# Should return None on error
result, text = await ScraperService.scrape_item("https://example.com")
assert result is None
assert text == ""
@pytest.mark.asyncio
async def test_page_load_timeout(self):
"""Test handling of page load timeout."""
with patch("app.services.scraper_service.async_playwright") as mock_playwright:
mock_browser = AsyncMock()
mock_context = AsyncMock()
mock_page = AsyncMock()
mock_page.goto = AsyncMock(side_effect=Exception("Timeout"))
mock_page.screenshot = AsyncMock() # Should still try to screenshot
mock_context.new_page = AsyncMock(return_value=mock_page)
mock_browser.new_context = AsyncMock(return_value=mock_context)
mock_browser.close = AsyncMock()
mock_pw = AsyncMock()
mock_pw.chromium.connect_over_cdp = AsyncMock(return_value=mock_browser)
mock_playwright.return_value.__aenter__.return_value = mock_pw
# Should continue and try to screenshot
await ScraperService.scrape_item("https://example.com", item_id=1)
# Even with timeout, should attempt screenshot
mock_page.screenshot.assert_called_once()
tests/test_security.py
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"""
Tests for URL validation and security.
"""
import pytest
from app.url_validation import URLValidationError, validate_url
class TestURLValidation:
"""Test URL validation for security."""
def test_valid_https_url(self):
"""Test that valid HTTPS URLs pass validation."""
validate_url("https://example.com/product")
# Should not raise
def test_valid_http_url(self):
"""Test that valid HTTP URLs pass validation."""
validate_url("http://example.com/product")
# Should not raise
def test_empty_url(self):
"""Test that empty URLs are rejected."""
with pytest.raises(URLValidationError, match="non-empty string"):
validate_url("")
def test_none_url(self):
"""Test that None URLs are rejected."""
with pytest.raises(URLValidationError, match="non-empty string"):
validate_url(None)
def test_missing_scheme(self):
"""Test that URLs without scheme are rejected."""
with pytest.raises(URLValidationError, match="must include a scheme"):
validate_url("example.com/product")
def test_blocked_scheme_file(self):
"""Test that file:// URLs are blocked."""
with pytest.raises(URLValidationError, match="Blocked URL scheme"):
validate_url("file:///etc/passwd")
def test_blocked_scheme_javascript(self):
"""Test that javascript: URLs are blocked."""
with pytest.raises(URLValidationError, match="Blocked URL scheme"):
validate_url("javascript:alert(1)")
def test_blocked_scheme_data(self):
"""Test that data: URLs are blocked."""
with pytest.raises(URLValidationError, match="Blocked URL scheme"):
validate_url("data:text/html,<script>alert(1)</script>")
def test_blocked_scheme_ftp(self):
"""Test that FTP URLs are blocked."""
with pytest.raises(URLValidationError, match="Blocked URL scheme"):
validate_url("ftp://example.com/file")
def test_localhost_blocked(self):
"""Test that localhost is blocked."""
with pytest.raises(URLValidationError, match="Private/internal IPs"):
validate_url("http://localhost:8000/")
def test_127_0_0_1_blocked(self):
"""Test that 127.0.0.1 is blocked."""
with pytest.raises(URLValidationError, match="Private/internal IPs"):
validate_url("http://127.0.0.1:8000/")
def test_private_ip_10_blocked(self):
"""Test that 10.x.x.x addresses are blocked."""
with pytest.raises(URLValidationError, match="Private/internal IPs"):
validate_url("http://10.0.0.1/")
def test_private_ip_192_blocked(self):
"""Test that 192.168.x.x addresses are blocked."""
with pytest.raises(URLValidationError, match="Private/internal IPs"):
validate_url("http://192.168.1.1/")
def test_private_ip_172_blocked(self):
"""Test that 172.16-31.x.x addresses are blocked."""
with pytest.raises(URLValidationError, match="Private/internal IPs"):
validate_url("http://172.16.0.1/")
def test_link_local_blocked(self):
"""Test that link-local addresses (169.254.x.x) are blocked."""
with pytest.raises(URLValidationError, match="Private/internal IPs"):
validate_url("http://169.254.0.1/")
def test_ipv6_loopback_blocked(self):
"""Test that IPv6 loopback (::1) is blocked."""
with pytest.raises(URLValidationError, match="Private/internal IPs"):
validate_url("http://[::1]:8000/")
def test_allow_private_param(self):
"""Test that allow_private parameter works."""
# Should not raise when allow_private=True
validate_url("http://localhost:8000/", allow_private=True)
validate_url("http://127.0.0.1:8000/", allow_private=True)
validate_url("http://192.168.1.1/", allow_private=True)
def test_missing_hostname(self):
"""Test that URLs without hostname are rejected."""
with pytest.raises(URLValidationError, match="must include a hostname"):
validate_url("http:///path")
def test_url_with_query_params(self):
"""Test that URLs with query parameters work."""
validate_url("https://example.com/product?id=123&ref=abc")
# Should not raise
def test_url_with_fragment(self):
"""Test that URLs with fragments work."""
validate_url("https://example.com/product#section")
# Should not raise
def test_url_with_port(self):
"""Test that URLs with ports work."""
validate_url("https://example.com:8443/product")
# Should not raise
def test_international_domain(self):
"""Test that international domains work."""
validate_url("https://例え.jp/product")
# Should not raise
class TestSSRFPrevention:
"""Test SSRF attack prevention."""
def test_ssrf_localhost_variants(self):
"""Test various localhost representations."""
localhost_variants = [
"http://localhost/",
"http://127.0.0.1/",
"http://127.1/",
"http://0.0.0.0/",
]
for url in localhost_variants:
with pytest.raises(URLValidationError):
validate_url(url)
def test_ssrf_private_networks(self):
"""Test private network ranges."""
private_ranges = [
"http://10.1.2.3/",
"http://172.16.0.1/",
"http://172.31.255.255/",
"http://192.168.0.1/",
"http://169.254.169.254/", # AWS metadata
]
for url in private_ranges:
with pytest.raises(URLValidationError):
validate_url(url)
def test_public_ips_allowed(self):
"""Test that public IPs are allowed."""
public_ips = [
"http://8.8.8.8/",
"http://1.1.1.1/",
"http://142.250.185.78/", # Google
]
for url in public_ips:
validate_url(url)
# Should not raise
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