Added more error handling in for raw to base
This commit is contained in:
@@ -8,3 +8,5 @@ BAD_REQUEST = 6
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FORBIDDEN = 7
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NOT_FOUND = 8
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CONFLICT = 9
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MOVE_FILE_ERROR = 10
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DUPLICATE_RESOLUTION_ERROR = 11
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+1
-9
@@ -23,17 +23,9 @@ class Ingest:
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self.raw_data_path = config['raw_data_path']
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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.load_additional_config()
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self.fetch_and_cache_entity_data()
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def load_additional_config(self):
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"""
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Load additional configuration values from the config file.
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"""
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with open('config/config.yaml', 'r') as f:
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config = yaml.safe_load(f)
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self.MAX_RETRIES = config['REQUESTS_MAX_RETRIES']
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self.RETRY_DELAY = config['REQUESTS_RETRY_DELAY']
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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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+81
-32
@@ -1,8 +1,10 @@
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import os
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import json
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import logging
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import sys
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from datetime import datetime
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from typing import List, Dict, Any
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from typing import Dict, Any
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import config.exit_codes as ec
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import polars as pl
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class RawToBase:
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@@ -14,7 +16,6 @@ class RawToBase:
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self.base_data_path = config['base_data_path']
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self.data = {}
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self.base_data = {}
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logging.basicConfig(level=logging.DEBUG)
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self.process_entities()
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def process_entities(self):
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@@ -22,7 +23,6 @@ class RawToBase:
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# check the file is in the raw data path, if not skip the entity
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folder_path = os.path.join(self.raw_data_path, entity)
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folder_contents = os.listdir(folder_path)
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# Check if the folder is empty
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if not folder_contents:
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logging.warning(f"The folder {folder_path} is empty skipping {entity}.")
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continue
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@@ -31,61 +31,94 @@ class RawToBase:
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continue
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self._load_existing_base_data(entity)
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self._combine_data(entity)
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self._resolve_duplicates(entity)
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self._save_base_data(entity)
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self._move_raw_to_processed(entity)
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if not self._resolve_duplicates(entity):
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logging.error(f"entity: {entity} failed duplicate resolution.")
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sys.exit(ec.DUPLICATE_RESOLUTION_ERROR)
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if not self._save_base_data(entity):
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logging.warning(f"Skipping processing for entity: {entity} due to failed saving base data.")
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continue
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if not self._move_raw_to_processed(entity):
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logging.error(f"entity: {entity} has been processed, but we could not move the file out of the raw folder, please clear the raw folder for {entity}.")
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sys.exit(ec.MOVE_FILE_ERROR)
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def _load_raw_data(self, entity):
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entity_path = os.path.join(self.raw_data_path, entity)
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self.data[entity] = []
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logging.debug(f"Loading data for entity: {entity} from path: {entity_path}")
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for file_name in os.listdir(entity_path):
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if file_name.endswith('.json'):
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files = [f for f in os.listdir(entity_path) if f.endswith('.json')]
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if len(files) > 1:
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logging.error(f"""More than one file found in path: {entity_path}. Skipping processing for entity: {entity}.
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recommended actions is to move the newest file(s) out, re-run main.py.
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Then move the files back in one at a time oldest to newest and run again for each file""")
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return False
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if len(files) == 1:
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file_name = files[0]
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file_path = os.path.join(entity_path, file_name)
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logging.debug(f"Reading file: {file_path}")
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try:
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with open(file_path, 'r') as f:
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data = json.load(f)
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# Check if the data is empty
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except Exception as e:
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logging.error(f"Failed to load data from file: {file_path}, error: {e}")
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return False
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if self._is_data_empty(entity, data, file_path):
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return False
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modified_data = self._add_ingestion_date(entity, data, file_name)
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self.data[entity].append(modified_data)
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logging.debug(f"Successfully loaded data from file: {file_path}")
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return True
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def _is_data_empty(self, entity, data, file_path):
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logging.debug(f"Checking if data is empty for entity: {entity}")
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if entity == "categories":
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# Check if any category group has categories
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has_categories = any(group.get("categories") for group in data.get("category_groups", []))
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if not has_categories:
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logging.warning(f"Received empty data for entity: {entity} in file: {file_path}, deleting file.")
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os.remove(file_path)
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return False
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return True
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else:
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if not data.get(entity, []):
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logging.warning(f"Received empty data for entity: {entity} in file: {file_path}, deleting file.")
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# delete the file as it is empty
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os.remove(file_path)
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return True
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logging.debug(f"Data is not empty for entity: {entity}")
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return False
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def _add_ingestion_date(self, entity, data, file_name):
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modified_data = []
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ingestion_date = datetime.strptime(file_name.split('.')[0], '%Y%m%d%H%M%S').date()
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logging.debug(f"Adding ingestion date to data for entity: {entity}")
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if entity == 'categories':
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for group in data.get('category_groups', []):
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for category in group.get('categories', []):
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category['ingestion_date'] = datetime.strptime(file_name.split('.')[0], '%Y%m%d%H%M%S').date()
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category['ingestion_date'] = ingestion_date
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modified_data.append(category)
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else:
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for record in data.get(f'{entity}', []):
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if isinstance(record, dict):
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record['ingestion_date'] = datetime.strptime(file_name.split('.')[0], '%Y%m%d%H%M%S').date()
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record['ingestion_date'] = ingestion_date
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modified_data.append(record)
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else:
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modified_data.append({'record': record, 'ingestion_date': datetime.strptime(file_name.split('.')[0], '%Y%m%d%H%M%S').date()})
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self.data[entity].append(modified_data)
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logging.debug(f"Successfully loaded data from file: {file_path}")
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except Exception as e:
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logging.error(f"Failed to load data from file: {file_path}, error: {e}")
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exit(1)
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return True
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modified_data.append({'record': record, 'ingestion_date': ingestion_date})
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logging.debug(f"Successfully added ingestion date to data for entity: {entity}")
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return modified_data
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def _load_existing_base_data(self, entity):
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base_path = os.path.join(self.base_data_path, f'{entity}.parquet')
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if os.path.exists(base_path):
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logging.debug(f"Loading existing base data for entity: {entity} from path: {base_path}")
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try:
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self.base_data[entity] = pl.read_parquet(base_path)
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except Exception as e:
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logging.error(f"Failed to load existing base data for entity: {entity}, error: {e}, Creating an empty DataFrame")
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self.base_data[entity] = pl.DataFrame()
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logging.debug(f"Successfully loaded existing base data for entity: {entity}")
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else:
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self.base_data[entity] = pl.DataFrame()
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@@ -103,7 +136,6 @@ class RawToBase:
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combined_data.extend(data)
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new_data_df = pl.DataFrame(combined_data)
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#print(new_data_df)
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# Ensure the unique id column is preserved
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unique_id = self.primary_keys[entity]['unique_id']
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@@ -117,35 +149,52 @@ class RawToBase:
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def _resolve_duplicates(self, entity):
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logging.debug(f"Resolving duplicates for entity: {entity}")
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unique_id = self.primary_keys[entity]['unique_id']
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try:
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self.base_data[entity] = self.base_data[entity].sort(by='ingestion_date').unique(subset=unique_id, keep='first')
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except Exception as e:
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logging.error(f"Failed to resolve duplicates for entity: {entity}, error: {e}")
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return False
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logging.debug(f"Successfully resolved duplicates for entity: {entity}")
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return True
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def _save_base_data(self, entity):
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os.makedirs(self.base_data_path, exist_ok=True)
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file_path = os.path.join(self.base_data_path, f'{entity}.parquet')
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try:
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self.base_data[entity].write_parquet(file_path)
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except Exception as e:
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logging.error(f"Failed to save base data for entity: {entity}, error: {e}")
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return False
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logging.debug(f"Saved base data for entity: {entity} to path: {file_path}")
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def _move_raw_to_processed(self, entity):
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raw_entity_path = os.path.join(self.raw_data_path, entity)
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processed_path = os.path.join(self.processed_data_path, entity)
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# logging.debug(f"Raw entity path: {raw_entity_path}")
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# logging.debug(f"Processed path: {processed_path}")
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os.makedirs(processed_path, exist_ok=True)
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for file_name in os.listdir(raw_entity_path):
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if file_name.endswith('.json'):
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try:
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files = [f for f in os.listdir(raw_entity_path) if f.endswith('.json')]
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if len(files) != 1:
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logging.error(f"Expected exactly one file in path: {raw_entity_path}, but found {len(files)}")
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return False
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file_name = files[0]
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raw_file_path = os.path.join(raw_entity_path, file_name)
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processed_file_path = os.path.join(processed_path, file_name)
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logging.debug(f"Moving file: {raw_file_path} to {processed_file_path}")
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if os.path.exists(raw_file_path):
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os.rename(raw_file_path, processed_file_path)
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logging.debug(f"Moved file: {file_name}")
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else:
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logging.error(f"File not found: {raw_file_path}")
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logging.debug(f"Moved file: {file_name} to processed")
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logging.debug(f"Moved processed files for entity: {entity} to path: {processed_path}")
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except FileNotFoundError as e:
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logging.error(f"File not found: {e}")
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return False
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except Exception as e:
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logging.error(f"Failed to move file for entity: {entity}, error: {e}")
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return False
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logging.debug(f"Moved processed file for entity: {entity} to path: {processed_path}")
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return True
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