Jake Pullen
92 lines
4.2 KiB
Python
92 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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class injest:
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def __init__(self, injest_info):
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self.API_TOKEN = injest_info['API_TOKEN'],
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self.BUDGET_ID = injest_info['BUDGET_ID'],
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self.headers = {'Authorization': f'Bearer {self.API_TOKEN}'},
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self.entities = ['accounts', 'categories', 'months', 'payees', 'transactions', 'scheduled_transactions'],
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self.base_url = injest_info['base_url'],
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self.knowledge_file = injest_info['knowledge_file']
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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):
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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 update_entity_data_cache(self,entity, data):
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current_time = time.strftime('%Y%m%d%H%M%S')
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directory = f'data/{entity}' # Directory name is the entity's name
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if not os.path.exists(directory):
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os.makedirs(directory) # Create the directory if it does not exist
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entity_file = f'{directory}/{current_time}.json' # Separate file for each entity's data
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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, server_knowledge):
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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):
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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: # Arbitrary low number to start handling the limit
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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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for entity in self.entities:
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logging.debug(f'entity type is {type(entity)}')
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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) # Check and handle rate limit
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if response.status_code == 429: # HTTP 429 Too Many Requests
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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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# Check if there is new server knowledge
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if server_knowledge is not None and server_knowledge != last_knowledge:
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# Update server knowledge cache
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self.update_server_knowledge_cache(entity, server_knowledge)
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# Update entity data cache without server knowledge
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entity_data = data['data']
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entity_data.pop('server_knowledge', None) # Remove server knowledge if exists
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self.update_entity_data_cache(entity, entity_data)
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else:
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logging.info(f"No new data for {entity}. Skipping cache update.")
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