master #1
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.gitignore
vendored
3
.gitignore
vendored
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colors/
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# ---> Python
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# Byte-compiled / optimized / DLL files
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__pycache__/
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113
README.md
113
README.md
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# Lego Scripts
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Collection of various Lego related scripts
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## Rebrickable Color Data Processing Scripts
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1. `rb_colorgrabber.py` - Downloads color data from Rebrickable API
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2. `rb2bl_colors.py` - Processes downloaded color data to extract IDs
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### Prerequisites
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- Python 3.7+
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- Required Python packages:
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```
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requests
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```
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- Rebrickable API key (get one from https://rebrickable.com/api/)
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- Input file: `colors.csv` from https://rebrickable.com/downloads/
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### Script Details
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#### rb_colorgrabber.py
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Downloads color data from Rebrickable API and saves it as individual JSON files.
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##### Features:
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- Fetches color data from Rebrickable API
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- Caches results in JSON files
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- Implements rate limiting (10-second delay between requests)
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- Handles corrupted cache files
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- Provides detailed logging
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##### Usage:
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1. Set your API key in the script
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2. Ensure `colors.csv` is in the same directory
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3. Run:
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```bash
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python rb_colorgrabber.py
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```
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The script will create a `colors` directory and save individual JSON files for each color ID.
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#### process_colors.py
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Processes the downloaded JSON files to extract BrickLink IDs and create a combined dataset.
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##### Features:
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- Reads color data from JSON files
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- Extracts BrickLink IDs
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- Creates a combined output file
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- Handles missing or corrupt data
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##### Usage:
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1. Ensure you have run `rb_colorgrabber.py` first
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2. Run:
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```bash
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python rb2bl_colors.py
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```
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The script will create `colors_combined.csv` with the processed data.
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### File Structure
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```
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.
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├── colors/ # Directory containing JSON files (created by fetch_colors.py)
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│ ├── 1.json
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│ ├── 2.json
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│ └── ...
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├── colors.csv # Input file from Rebrickable
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├── fetch_colors.py # Script to fetch data from API
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├── process_colors.py # Script to process JSON files
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└── colors_combined.txt # Output file (created by process_colors.py)
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```
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### Error Handling
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Both scripts include comprehensive error handling:
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- API connection errors
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- File read/write errors
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- JSON parsing errors
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- Missing data handling
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### Logging
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The scripts provide detailed logging information:
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- API request status
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- File operations
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- Error messages
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- Processing progress
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### Best Practices
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When using these scripts:
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1. Don't modify the JSON files manually
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2. Keep the API key secure
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3. Respect Rebrickable's rate limits
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4. Back up your data before processing
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### Troubleshooting
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Common issues and solutions:
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1. API Key errors:
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- Verify your API key is correct
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- Check your API key permissions
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2. Missing files:
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- Ensure `colors.csv` is present
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- Run `rb_colorgrabber.py` before `rb2bl_colors.py`
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3. Rate limiting:
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- The scripts include a 10-second delay between requests
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- Don't modify this unless you have permission from Rebrickable
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### License
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These scripts are provided as-is under the MIT License.
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59
rb2bl_colors.py
Normal file
59
rb2bl_colors.py
Normal file
@ -0,0 +1,59 @@
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import os
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import sys
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import json
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from pprint import pprint
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from typing import Optional, List
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from pathlib import Path
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def read_color_data(color_id: str) -> Optional[str]:
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"""
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Read BrickLink color ID from a JSON file for a given color ID.
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Args:
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color_id: The color ID to look up
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Returns:
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The BrickLink ID if found, None otherwise
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"""
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try:
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with open(f"colors/{color_id}.json", 'r') as file:
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data = json.load(file)
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bricklink_data = data['external_ids'].get('BrickLink', {})
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return bricklink_data.get('ext_ids', [None])[0] if bricklink_data else None
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except (FileNotFoundError, KeyError, json.JSONDecodeError):
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return None
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def process_colors_file(input_file: str, output_file: str) -> None:
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"""
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Process the colors.csv file and create a new combined file with BrickLink IDs.
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Args:
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input_file: Path to the input colors.csv file
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output_file: Path to write the output file
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"""
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new_file: List[str] = []
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try:
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with open(input_file) as file:
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lines = file.readlines()
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# Process header
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new_file.append('id,name,rgb,is_trans,BrickLink\n')
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# Process data lines
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for line in lines[1:]:
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id, name, rgb, is_trans = line.strip().split(',')
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bricklink_id = read_color_data(id)
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new_file.append(f"{id},{name},{rgb},{is_trans},{bricklink_id}\n")
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# Write output file
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with open(output_file, "w") as f:
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f.writelines(new_file)
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except Exception as e:
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print(f"Error processing file: {e}")
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if __name__ == "__main__":
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input_file = "colors.csv"
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output_file = "colors_combined.csv"
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process_colors_file(input_file, output_file)
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110
rb_colorgrabber.py
Normal file
110
rb_colorgrabber.py
Normal file
@ -0,0 +1,110 @@
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import csv
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import json
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import requests
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import time
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from pathlib import Path
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from typing import Optional, Dict
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from dataclasses import dataclass
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import logging
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from requests.exceptions import RequestException
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s'
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)
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@dataclass
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class APIConfig:
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"""Configuration for the Rebrickable API"""
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api_key: str
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base_url: str = 'https://rebrickable.com/api/v3/lego/colors/'
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rate_limit_delay: int = 10 # seconds between API calls
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@property
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def headers(self) -> Dict[str, str]:
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return {
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'Accept': 'application/json',
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'Authorization': f'key {self.api_key}'
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}
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class ColorDataFetcher:
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"""Handles fetching and saving of color data from the Rebrickable API"""
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def __init__(self, config: APIConfig, output_dir: Path):
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self.config = config
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self.output_dir = output_dir
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self.output_dir.mkdir(exist_ok=True)
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def fetch_and_save_color(self, color_id: int) -> Optional[Dict]:
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"""Fetch color data from API and save to JSON file if not already exists"""
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if color_id == -1: # Skip unknown color
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return None
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json_path = self.output_dir / f'{color_id}.json'
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# Check if file already exists
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if json_path.exists():
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try:
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with json_path.open('r', encoding='utf-8') as f:
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data = json.load(f)
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logging.info(f"JSON file for color ID {color_id} already exists, skipping API call")
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return data
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except json.JSONDecodeError:
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logging.warning(f"Corrupted JSON file for color ID {color_id}, will retry API call")
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json_path.unlink()
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# Fetch from API
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try:
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url = f'{self.config.base_url}{color_id}'
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response = requests.get(url, headers=self.config.headers)
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response.raise_for_status()
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data = response.json()
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# Save to JSON file
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with json_path.open('w', encoding='utf-8') as f:
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json.dump(data, f, indent=2)
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logging.info(f"Successfully fetched and saved color ID {color_id}")
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time.sleep(self.config.rate_limit_delay) # Respect rate limits
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return data
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except RequestException as e:
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logging.error(f"Error fetching data for color ID {color_id}: {e}")
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return None
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def process_colors(input_csv: Path, fetcher: ColorDataFetcher) -> None:
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"""Process colors from CSV and fetch their data"""
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try:
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# Read color IDs from CSV
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with input_csv.open('r', encoding='utf-8') as f:
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reader = csv.DictReader(f)
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color_ids = [int(row['id']) for row in reader]
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# Fetch and save data for each color
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for color_id in color_ids:
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fetcher.fetch_and_save_color(color_id)
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except Exception as e:
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logging.error(f"Error processing colors: {e}")
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raise
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def main():
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"""Main entry point"""
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try:
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api_key = '<API KEY>' # Should be loaded from environment variable or config file
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config = APIConfig(api_key=api_key)
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fetcher = ColorDataFetcher(config, output_dir=Path('colors'))
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process_colors(
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input_csv=Path('colors.csv'),
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fetcher=fetcher
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)
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except Exception as e:
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logging.error(f"Application error: {e}")
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raise
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if __name__ == '__main__':
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main()
|
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