commit afed10abc5f5c3ca3cf832d66aa4a0637335dd65 Author: LogiFlow <101972532+R0m1k3@users.noreply.github.com> Date: Sat Nov 22 10:01:25 2025 +0100 Add files via upload diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..3b3067d --- /dev/null +++ b/Dockerfile @@ -0,0 +1,48 @@ +# 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"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..e11e453 --- /dev/null +++ b/LICENSE @@ -0,0 +1,675 @@ +GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. + + If the disclaimer of warranty and limitation of liability provided +above cannot be given local legal effect according to their terms, +reviewing courts shall apply local law that most closely approximates +an absolute waiver of all civil liability in connection with the +Program, unless a warranty or assumption of liability accompanies a +copy of the Program in return for a fee. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +state the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + 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 . + +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: + + Copyright (C) + 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 +. + + 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 +. diff --git a/README.md b/README.md new file mode 100644 index 0000000..30e2137 --- /dev/null +++ b/README.md @@ -0,0 +1,142 @@ +

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+ +

+ Price tracking using A-Eyes 🤦 +

+ +> [!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. + +SCR-20251120-sdky + +## 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. diff --git a/alembic.ini b/alembic.ini new file mode 100644 index 0000000..ca7ed18 --- /dev/null +++ b/alembic.ini @@ -0,0 +1,94 @@ +# 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 diff --git a/app/__init__.py b/app/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/app/ai_schema.py b/app/ai_schema.py new file mode 100644 index 0000000..93ae6da --- /dev/null +++ b/app/ai_schema.py @@ -0,0 +1,202 @@ +""" +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": , + "currency": "USD", + "in_stock": , + "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": , + "currency": "", + "in_stock": , + "price_confidence": , + "in_stock_confidence": , + "source_type": "" +}} + +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]) diff --git a/app/alembic/env.py b/app/alembic/env.py new file mode 100644 index 0000000..85d5e71 --- /dev/null +++ b/app/alembic/env.py @@ -0,0 +1,82 @@ +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() diff --git a/app/alembic/script.py.mako b/app/alembic/script.py.mako new file mode 100644 index 0000000..fbc4b07 --- /dev/null +++ b/app/alembic/script.py.mako @@ -0,0 +1,26 @@ +"""${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"} diff --git a/app/alembic/versions/6ecb6f39fd8c_add_refresh_fields.py b/app/alembic/versions/6ecb6f39fd8c_add_refresh_fields.py new file mode 100644 index 0000000..98c8256 --- /dev/null +++ b/app/alembic/versions/6ecb6f39fd8c_add_refresh_fields.py @@ -0,0 +1,37 @@ +"""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 ### diff --git a/app/alembic/versions/7f8e9d2a1b3c_add_performance_indexes.py b/app/alembic/versions/7f8e9d2a1b3c_add_performance_indexes.py new file mode 100644 index 0000000..c85b829 --- /dev/null +++ b/app/alembic/versions/7f8e9d2a1b3c_add_performance_indexes.py @@ -0,0 +1,39 @@ +"""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") diff --git a/app/alembic/versions/a1b2c3d4e5f6_add_confidence_metadata.py b/app/alembic/versions/a1b2c3d4e5f6_add_confidence_metadata.py new file mode 100644 index 0000000..7bd6fa3 --- /dev/null +++ b/app/alembic/versions/a1b2c3d4e5f6_add_confidence_metadata.py @@ -0,0 +1,55 @@ +"""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") diff --git a/app/alembic/versions/initial_migration.py b/app/alembic/versions/initial_migration.py new file mode 100644 index 0000000..fa7d512 --- /dev/null +++ b/app/alembic/versions/initial_migration.py @@ -0,0 +1,116 @@ +"""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") diff --git a/app/alembic/versions/performance_indexes_v2.py b/app/alembic/versions/performance_indexes_v2.py new file mode 100644 index 0000000..355df55 --- /dev/null +++ b/app/alembic/versions/performance_indexes_v2.py @@ -0,0 +1,46 @@ +"""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) diff --git a/app/database.py b/app/database.py new file mode 100644 index 0000000..c555970 --- /dev/null +++ b/app/database.py @@ -0,0 +1,58 @@ +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() diff --git a/app/limiter.py b/app/limiter.py new file mode 100644 index 0000000..38404a8 --- /dev/null +++ b/app/limiter.py @@ -0,0 +1,4 @@ +from slowapi import Limiter +from slowapi.util import get_remote_address + +limiter = Limiter(key_func=get_remote_address) diff --git a/app/main.py b/app/main.py new file mode 100644 index 0000000..fa7fe1a --- /dev/null +++ b/app/main.py @@ -0,0 +1,89 @@ +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"} diff --git a/app/models.py b/app/models.py new file mode 100644 index 0000000..335dcf5 --- /dev/null +++ b/app/models.py @@ -0,0 +1,79 @@ +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) diff --git a/app/notification_sender.py b/app/notification_sender.py new file mode 100644 index 0000000..da6d77b --- /dev/null +++ b/app/notification_sender.py @@ -0,0 +1,36 @@ +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) diff --git a/app/routers/items.py b/app/routers/items.py new file mode 100644 index 0000000..e048c0b --- /dev/null +++ b/app/routers/items.py @@ -0,0 +1,46 @@ +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"} diff --git a/app/routers/jobs.py b/app/routers/jobs.py new file mode 100644 index 0000000..d9d7698 --- /dev/null +++ b/app/routers/jobs.py @@ -0,0 +1,61 @@ +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"} diff --git a/app/routers/notifications.py b/app/routers/notifications.py new file mode 100644 index 0000000..c497a59 --- /dev/null +++ b/app/routers/notifications.py @@ -0,0 +1,29 @@ +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) diff --git a/app/routers/settings.py b/app/routers/settings.py new file mode 100644 index 0000000..d3f0419 --- /dev/null +++ b/app/routers/settings.py @@ -0,0 +1,17 @@ +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) diff --git a/app/schemas.py b/app/schemas.py new file mode 100644 index 0000000..0a7fc29 --- /dev/null +++ b/app/schemas.py @@ -0,0 +1,52 @@ +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 diff --git a/app/services/ai_service.py b/app/services/ai_service.py new file mode 100644 index 0000000..8d00327 --- /dev/null +++ b/app/services/ai_service.py @@ -0,0 +1,352 @@ +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 diff --git a/app/services/item_service.py b/app/services/item_service.py new file mode 100644 index 0000000..fb948ce --- /dev/null +++ b/app/services/item_service.py @@ -0,0 +1,135 @@ +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 diff --git a/app/services/notification_service.py b/app/services/notification_service.py new file mode 100644 index 0000000..79f6988 --- /dev/null +++ b/app/services/notification_service.py @@ -0,0 +1,89 @@ +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}", + ) diff --git a/app/services/scheduler_service.py b/app/services/scheduler_service.py new file mode 100644 index 0000000..ff9d537 --- /dev/null +++ b/app/services/scheduler_service.py @@ -0,0 +1,147 @@ +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) diff --git a/app/services/scraper_service.py b/app/services/scraper_service.py new file mode 100644 index 0000000..31ef0b7 --- /dev/null +++ b/app/services/scraper_service.py @@ -0,0 +1,185 @@ +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() diff --git a/app/services/settings_service.py b/app/services/settings_service.py new file mode 100644 index 0000000..7264de6 --- /dev/null +++ b/app/services/settings_service.py @@ -0,0 +1,25 @@ +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 diff --git a/app/url_validation.py b/app/url_validation.py new file mode 100644 index 0000000..5359698 --- /dev/null +++ b/app/url_validation.py @@ -0,0 +1,69 @@ +"""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}") diff --git a/app/utils/image.py b/app/utils/image.py new file mode 100644 index 0000000..785b75a --- /dev/null +++ b/app/utils/image.py @@ -0,0 +1,45 @@ +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) diff --git a/app/utils/text.py b/app/utils/text.py new file mode 100644 index 0000000..bbc7c56 --- /dev/null +++ b/app/utils/text.py @@ -0,0 +1,144 @@ +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 diff --git a/docker-entrypoint.sh b/docker-entrypoint.sh new file mode 100644 index 0000000..1514d4a --- /dev/null +++ b/docker-entrypoint.sh @@ -0,0 +1,11 @@ +#!/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 diff --git a/frontend/index.html b/frontend/index.html new file mode 100644 index 0000000..12eae17 --- /dev/null +++ b/frontend/index.html @@ -0,0 +1,17 @@ + + + + + + + + + Pricecious + + + +
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"^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" + } +} \ No newline at end of file diff --git a/frontend/postcss.config.js b/frontend/postcss.config.js new file mode 100644 index 0000000..d41ad63 --- /dev/null +++ b/frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/frontend/public/apple-touch-icon.png b/frontend/public/apple-touch-icon.png new file mode 100644 index 0000000..8aceb70 Binary files /dev/null and b/frontend/public/apple-touch-icon.png differ diff --git a/frontend/public/favicon.ico b/frontend/public/favicon.ico new file mode 100644 index 0000000..75d7dd3 Binary files /dev/null and b/frontend/public/favicon.ico differ diff --git a/frontend/public/logo.png b/frontend/public/logo.png new file mode 100644 index 0000000..431e3fc Binary files /dev/null and b/frontend/public/logo.png differ diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx new file mode 100644 index 0000000..7207f45 --- /dev/null +++ b/frontend/src/App.jsx @@ -0,0 +1,23 @@ +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 ( + + + + + } /> + } /> + + + + ); +} diff --git a/frontend/src/components/dashboard/DeleteConfirmationModal.jsx b/frontend/src/components/dashboard/DeleteConfirmationModal.jsx new file mode 100644 index 0000000..fc7b85c --- /dev/null +++ b/frontend/src/components/dashboard/DeleteConfirmationModal.jsx @@ -0,0 +1,22 @@ +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 ( + + + + Delete Item + + Are you sure you want to delete {item?.name}? This action cannot be undone. + + + + + + + + + ); +} diff --git a/frontend/src/components/dashboard/ItemCard.jsx b/frontend/src/components/dashboard/ItemCard.jsx new file mode 100644 index 0000000..66c076f --- /dev/null +++ b/frontend/src/components/dashboard/ItemCard.jsx @@ -0,0 +1,173 @@ +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 ( + +
onZoom(item.screenshot_url)}> + {item.screenshot_url ? ( + <> + {`Screenshot { e.target.style.display = 'none' }} + /> +
+ + ) : ( +
+ No screenshot +
+ )} + + {/* Stock Confidence Bar */} + {(item.in_stock_confidence !== null && item.in_stock_confidence !== undefined) && ( +
+
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)}%`} + /> +
+ )} + + {/* Stock Badge */} +
+ {stockStatus.label} +
+
+ + +
+
+
+ + + +
+ + + + + {new URL(item.url).hostname.replace('www.', '')} + + + + + +
+
+
+ Price + {item.target_price && ( + + Target: ${item.target_price} + + )} +
+ +
+ + {item.current_price ? `$${item.current_price}` : '---'} + +
+ + {/* Price Confidence Bar */} + {(item.current_price_confidence !== null && item.current_price_confidence !== undefined) && ( +
+
+
0.8 ? 'bg-primary' : + item.current_price_confidence > 0.5 ? 'bg-primary/70' : 'bg-primary/40' + )} + style={{ width: `${item.current_price_confidence * 100}%` }} + /> +
+
+ Price Confidence: {Math.round(item.current_price_confidence * 100)}% +
+
+ )} +
+ + {/* Tags */} + {item.tags && ( +
+ {item.tags.split(',').map(tag => ( + + {tag.trim()} + + ))} +
+ )} + + {/* Description */} + {item.description && ( +

+ {item.description} +

+ )} +
+ + + +
+
+
+ + {item.last_checked ? new Date(item.last_checked).toLocaleString() : 'Never'} +
+ {item.last_error && ( +
+ + Error +
+ )} +
+ +
+ + + +
+
+
+ + ); +} diff --git a/frontend/src/components/dashboard/ItemModal.jsx b/frontend/src/components/dashboard/ItemModal.jsx new file mode 100644 index 0000000..1ab0663 --- /dev/null +++ b/frontend/src/components/dashboard/ItemModal.jsx @@ -0,0 +1,172 @@ +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 ( + + + + {item ? 'Edit Item' : 'Add New Item'} + +
+
+ + setFormData({ ...formData, url: e.target.value })} + /> +
+
+ + setFormData({ ...formData, name: e.target.value })} + /> +
+
+
+ + setFormData({ ...formData, target_price: e.target.value })} + /> +
+
+ + setFormData({ ...formData, selector: e.target.value })} + /> +
+
+
+ + +
+
+ + setFormData({ ...formData, tags: e.target.value })} + /> +
+
+ +