Jake Pullen
103 lines
4.2 KiB
Python
103 lines
4.2 KiB
Python
import os
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import time
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import json
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import logging
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import requests
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from typing import Dict, Any
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class Ingest:
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def __init__(self, ingest_info: Dict[str, Any]):
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"""
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Initialize the Ingest class with the provided configuration.
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"""
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self.api_token = ingest_info['API_TOKEN']
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self.budget_id = ingest_info['BUDGET_ID']
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self.base_url = ingest_info['base_url']
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self.knowledge_file = ingest_info['knowledge_file']
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self.entities = ingest_info['entities']
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self.headers = {'Authorization': f'Bearer {self.api_token}'}
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self.knowledge_cache = self.load_knowledge_cache()
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self.fetch_and_cache_entity_data()
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def load_knowledge_cache(self) -> Dict[str, Any]:
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"""
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Load the knowledge cache from the file if it exists.
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"""
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if os.path.exists(self.knowledge_file):
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with open(self.knowledge_file, 'r') as f:
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return json.load(f)
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return {}
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def save_entity_data_to_raw(self, entity: str, data: Dict[str, Any]):
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"""
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Save the data for a specific entity to a new cache file.
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"""
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current_time = time.strftime('%Y%m%d%H%M%S')
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directory = f'data/{entity}'
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if not os.path.exists(directory):
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os.makedirs(directory)
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entity_file = f'{directory}/{current_time}.json'
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with open(entity_file, 'w') as f:
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json.dump(data, f, indent=4)
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def update_server_knowledge_cache(self, entity: str, server_knowledge: Any):
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"""
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Update the server knowledge cache for a specific entity.
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"""
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try:
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with open(self.knowledge_file, 'r') as f:
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knowledge_cache = json.load(f)
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except FileNotFoundError:
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knowledge_cache = {}
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knowledge_cache[entity] = server_knowledge
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with open(self.knowledge_file, 'w') as f:
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json.dump(knowledge_cache, f, indent=4)
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def check_rate_limit(self, response: requests.Response):
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"""
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Check and handle the rate limit based on the response headers.
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"""
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rate_limit_header = response.headers.get('X-Rate-Limit')
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if rate_limit_header:
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requests_made, limit = map(int, rate_limit_header.split('/'))
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remaining_requests = limit - requests_made
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logging.info(f"Rate Limit: {remaining_requests}/{limit} requests remaining.")
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if remaining_requests < 20:
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logging.warning("Approaching rate limit. Consider pausing further requests.")
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# Implement pause or delay logic here if necessary
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else:
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logging.warning("X-Rate-Limit header is missing.")
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def fetch_and_cache_entity_data(self):
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"""
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Fetch and cache data for all entities.
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"""
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for entity in self.entities:
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last_knowledge = self.knowledge_cache.get(entity, 0)
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logging.debug(f'Last Knowledge of {entity.capitalize()}: {last_knowledge}')
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url = f'{self.base_url}/{self.budget_id}/{entity}'
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if last_knowledge:
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logging.info(f'Fetching {entity} data since last knowledge: {last_knowledge}')
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url = url + f'?last_knowledge_of_server={last_knowledge}'
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response = requests.get(url, headers=self.headers)
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self.check_rate_limit(response)
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if response.status_code == 429:
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logging.error("Rate limit exceeded. Pausing until the limit is reset.")
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# Implement pause until the limit reset logic here
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break
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data = response.json()
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server_knowledge = data['data'].get('server_knowledge')
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logging.debug(f'{entity.capitalize()} Server Knowledge: {server_knowledge}')
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if server_knowledge is not None and server_knowledge != last_knowledge:
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self.update_server_knowledge_cache(entity, server_knowledge)
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entity_data = data['data']
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entity_data.pop('server_knowledge', None)
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self.save_entity_data_to_raw(entity, entity_data)
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else:
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logging.info(f"No new data for {entity}. Skipping cache update.") |