Jake/data_pipeline_for_YNAB
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starting a fresh tidy

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Jake
2026-07-26 10:34:18 +01:00
parent 5af82e5753
commit 33cbc5c6ed
14 changed files with 985 additions and 186 deletions
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.python-version
+1
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@@ -0,0 +1 @@
3.13
README.md
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config/custom_json_logger.py
+2 -1
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@@ -3,6 +3,7 @@ import json
import logging import logging
from typing import override from typing import override
class custom_json_logger(logging.Formatter): class custom_json_logger(logging.Formatter):
def __init__( def __init__(
self, self,
@@ -21,7 +22,7 @@ class custom_json_logger(logging.Formatter):
always_fields = { always_fields = {
"message" : record.getMessage(), "message" : record.getMessage(),
"timestamp" : dt.datetime.fromtimestamp( "timestamp" : dt.datetime.fromtimestamp(
record.created, tz=dt.timezone.utc record.created, tz=dt.UTC
).isoformat(), ).isoformat(),
} }
if record.exc_info is not None: if record.exc_info is not None:
dash_app.py
+7 -5
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@@ -1,12 +1,14 @@
'''Module to create a Dash app that displays visualizations of YNAB data.''' '''Module to create a Dash app that displays visualizations of YNAB data.'''
import polars as pl
import plotly.express as px
from dash import Dash, html, dcc
import dash_bootstrap_components as dbc
import pandas as pd
import logging import logging
import sys import sys
import dash_bootstrap_components as dbc
import pandas as pd
import plotly.express as px
import polars as pl
from dash import Dash, dcc, html
import config.exit_codes as ec import config.exit_codes as ec
try: try:
main.py
+12 -10
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@@ -1,15 +1,17 @@
import os
import dotenv
import logging
import yaml
import sys
import atexit import atexit
import logging
import logging.config import logging.config
import logging.handlers import logging.handlers
import os
import sys
import dotenv
import yaml
import config.exit_codes as ec import config.exit_codes as ec
from pipeline.pipeline_main import pipeline_main from pipeline.pipeline_main import pipeline_main
def set_up_logging(): def set_up_logging():
try: try:
with open('config/logging_config.yaml', 'r') as f: with open('config/logging_config.yaml', 'r') as f:
@@ -47,7 +49,7 @@ API_TOKEN = os.getenv('API_TOKEN')
BUDGET_ID = os.getenv('BUDGET_ID') BUDGET_ID = os.getenv('BUDGET_ID')
if not API_TOKEN or not BUDGET_ID: if not API_TOKEN or not BUDGET_ID:
logging.error('API_TOKEN or BUDGET_ID is not set in .env file') logger.error('API_TOKEN or BUDGET_ID is not set in .env file')
sys.exit(ec.MISSING_ENV_VARS) sys.exit(ec.MISSING_ENV_VARS)
if __name__ == '__main__': if __name__ == '__main__':
@@ -55,7 +57,7 @@ if __name__ == '__main__':
config['API_TOKEN'] = API_TOKEN config['API_TOKEN'] = API_TOKEN
config['BUDGET_ID'] = BUDGET_ID config['BUDGET_ID'] = BUDGET_ID
try: try:
pipeline_main(config) pipeline_main(config, logger)
# Check if the data was successfully created # Check if the data was successfully created
data_exists = os.path.exists('data/processed') and os.listdir('data/processed') data_exists = os.path.exists('data/processed') and os.listdir('data/processed')
@@ -63,12 +65,12 @@ if __name__ == '__main__':
from dash_app import app from dash_app import app
app.run() # debug=True app.run() # debug=True
else: else:
logging.error('Data pipeline did not produce any data. Dash app will not run.') logger.error('Data pipeline did not produce any data. Dash app will not run.')
sys.exit(ec.NO_DATA_PRODUCED) sys.exit(ec.NO_DATA_PRODUCED)
except SystemExit as e: except SystemExit as e:
exit_code = e.code exit_code = e.code
if exit_code == ec.SUCCESS: if exit_code == ec.SUCCESS:
logging.info('Program exited successfully') logger.info('Program exited successfully')
else: else:
logging.error(f'Program exited with code {exit_code}') logger.error(f'Program exited with code {exit_code}')
raise raise
pipeline/dimensions.py
+37 -36
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@@ -1,21 +1,23 @@
import polars as pl
import logging
import os import os
from datetime import date from datetime import date
import polars as pl
class Dimensions: class Dimensions:
def __init__(self, config): def __init__(self, config,logger):
self.config = config self.config = config
self.base_file_path = self.config['base_data_path'] self.base_file_path = self.config['base_data_path']
os.makedirs(self.config['warehouse_data_path'], exist_ok=True) os.makedirs(self.config['warehouse_data_path'], exist_ok=True)
self.logger = logger
def get_full_file_path(self, file_name): def get_full_file_path(self, file_name):
return f"{self.base_file_path}/{file_name}" return f"{self.base_file_path}/{file_name}"
class DimAccounts(Dimensions): class DimAccounts(Dimensions):
def __init__(self, config): def __init__(self, config,logger):
super().__init__(config) super().__init__(config,logger)
self.file_path = self.get_full_file_path('accounts.parquet') self.file_path = self.get_full_file_path('accounts.parquet')
self.transform() self.transform()
@@ -24,10 +26,10 @@ class DimAccounts(Dimensions):
try: try:
source_accounts = pl.read_parquet(self.file_path) source_accounts = pl.read_parquet(self.file_path)
except Exception as e: except Exception as e:
logging.error(f"Failed to read the base accounts parquet file: {e}") self.logger.error(f"Failed to read the base accounts parquet file: {e}")
return return
logging.info("Transforming the accounts DataFrame") self.logger.info("Transforming the accounts DataFrame")
try: try:
base_accounts = ( base_accounts = (
source_accounts.select([ source_accounts.select([
@@ -44,7 +46,7 @@ class DimAccounts(Dimensions):
]) ])
) )
except Exception as e: except Exception as e:
logging.error(f"Failed to select columns from the categories DataFrame: {e}") self.logger.error(f"Failed to select columns from the categories DataFrame: {e}")
return return
try: try:
@@ -65,19 +67,19 @@ class DimAccounts(Dimensions):
"id", "name", "type" "id", "name", "type"
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to transform the accounts DataFrame: {e}") self.logger.error(f"Failed to transform the accounts DataFrame: {e}")
return return
logging.info("Writing the transformed accounts DataFrame to parquet file") self.logger.info("Writing the transformed accounts DataFrame to parquet file")
try: try:
drop_accounts_columns.write_parquet(self.config['warehouse_data_path'] + '/accounts.parquet') drop_accounts_columns.write_parquet(self.config['warehouse_data_path'] + '/accounts.parquet')
except Exception as e: except Exception as e:
logging.error(f"Failed to write the transformed accounts DataFrame to parquet file: {e}") self.logger.error(f"Failed to write the transformed accounts DataFrame to parquet file: {e}")
return return
class DimCategories(Dimensions): class DimCategories(Dimensions):
def __init__(self, config): def __init__(self, config,logger):
super().__init__(config) super().__init__(config,logger)
self.file_path = self.get_full_file_path('categories.parquet') self.file_path = self.get_full_file_path('categories.parquet')
self.transform() self.transform()
@@ -85,9 +87,9 @@ class DimCategories(Dimensions):
try: try:
source_categories = pl.read_parquet(self.file_path) source_categories = pl.read_parquet(self.file_path)
except Exception as e: except Exception as e:
logging.error(f"Failed to read the base categories parquet file: {e}") self.logger.error(f"Failed to read the base categories parquet file: {e}")
return return
logging.info("Transforming the categories DataFrame") self.logger.info("Transforming the categories DataFrame")
try: try:
base_categories = source_categories.select([ base_categories = source_categories.select([
'id', 'id',
@@ -101,7 +103,7 @@ class DimCategories(Dimensions):
'deleted' 'deleted'
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to select columns from the categories DataFrame: {e}") self.logger.error(f"Failed to select columns from the categories DataFrame: {e}")
return return
try: try:
@@ -121,19 +123,19 @@ class DimCategories(Dimensions):
'id', 'name' 'id', 'name'
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to transform the categories DataFrame: {e}") self.logger.error(f"Failed to transform the categories DataFrame: {e}")
return return
logging.info("Writing the transformed categories DataFrame to parquet file") self.logger.info("Writing the transformed categories DataFrame to parquet file")
try: try:
drop_categories_columns.write_parquet(self.config['warehouse_data_path'] + '/categories.parquet') drop_categories_columns.write_parquet(self.config['warehouse_data_path'] + '/categories.parquet')
except Exception as e: except Exception as e:
logging.error(f"Failed to write the transformed categories DataFrame to parquet file: {e}") self.logger.error(f"Failed to write the transformed categories DataFrame to parquet file: {e}")
return return
class DimPayees(Dimensions): class DimPayees(Dimensions):
def __init__(self, config): def __init__(self, config,logger):
super().__init__(config) super().__init__(config,logger)
self.file_path = self.get_full_file_path('payees.parquet') self.file_path = self.get_full_file_path('payees.parquet')
self.transform() self.transform()
@@ -141,9 +143,9 @@ class DimPayees(Dimensions):
try: try:
source_payees = pl.read_parquet(self.file_path) source_payees = pl.read_parquet(self.file_path)
except Exception as e: except Exception as e:
logging.error(f"Failed to read the base payees parquet file: {e}") self.logger.error(f"Failed to read the base payees parquet file: {e}")
return return
logging.info("Transforming the payees DataFrame") self.logger.info("Transforming the payees DataFrame")
try: try:
base_payees = source_payees.select([ base_payees = source_payees.select([
'id', 'id',
@@ -151,7 +153,7 @@ class DimPayees(Dimensions):
'deleted' 'deleted'
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to select columns from the payees DataFrame: {e}") self.logger.error(f"Failed to select columns from the payees DataFrame: {e}")
return return
try: try:
@@ -163,20 +165,20 @@ class DimPayees(Dimensions):
'id', 'name' 'id', 'name'
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to rename columns in the payees DataFrame: {e}") self.logger.error(f"Failed to rename columns in the payees DataFrame: {e}")
return return
# Write the DataFrame to a new parquet file # Write the DataFrame to a new parquet file
logging.info("Writing the transformed payees DataFrame to parquet file") self.logger.info("Writing the transformed payees DataFrame to parquet file")
try: try:
drop_payees_columns.write_parquet(self.config['warehouse_data_path'] + '/payees.parquet') drop_payees_columns.write_parquet(self.config['warehouse_data_path'] + '/payees.parquet')
except Exception as e: except Exception as e:
logging.error(f"Failed to write the transformed payees DataFrame to parquet file: {e}") self.logger.error(f"Failed to write the transformed payees DataFrame to parquet file: {e}")
return return
class DimDate(Dimensions): class DimDate(Dimensions):
def __init__(self, config): def __init__(self, config,logger):
super().__init__(config) super().__init__(config,logger)
self.transform() self.transform()
def transform(self): def transform(self):
@@ -184,7 +186,7 @@ class DimDate(Dimensions):
try: try:
dates_df = pl.DataFrame({'date':pl.date_range(date(2020, 1, 1), date(2030, 12, 31), "1d", eager=True)}) dates_df = pl.DataFrame({'date':pl.date_range(date(2020, 1, 1), date(2030, 12, 31), "1d", eager=True)})
except Exception as e: except Exception as e:
logging.error(f"Failed to create a DataFrame with dates: {e}") self.logger.error(f"Failed to create a DataFrame with dates: {e}")
return return
# Extract year, month, day, and weekday from the date column # Extract year, month, day, and weekday from the date column
try: try:
@@ -195,7 +197,7 @@ class DimDate(Dimensions):
pl.col('date').dt.weekday().alias('weekday') pl.col('date').dt.weekday().alias('weekday')
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to extract year, month, day, and weekday from the date column: {e}") self.logger.error(f"Failed to extract year, month, day, and weekday from the date column: {e}")
return return
try: try:
# Create a new column to indicate if the date is a weekday or weekend # Create a new column to indicate if the date is a weekday or weekend
@@ -203,7 +205,7 @@ class DimDate(Dimensions):
(pl.col('weekday') < 6).alias('is_weekday') # True for weekdays (Monday to Friday), False for weekends (Saturday and Sunday) (pl.col('weekday') < 6).alias('is_weekday') # True for weekdays (Monday to Friday), False for weekends (Saturday and Sunday)
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to create a new column to indicate if the date is a weekday or weekend: {e}") self.logger.error(f"Failed to create a new column to indicate if the date is a weekday or weekend: {e}")
return return
# Create a primary key by concatenating year, month, and day with no separators # Create a primary key by concatenating year, month, and day with no separators
@@ -215,13 +217,12 @@ class DimDate(Dimensions):
).alias('date_id') ).alias('date_id')
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to create the primary key column: {e}") self.logger.error(f"Failed to create the primary key column: {e}")
return return
# Write the DataFrame to a new parquet file # Write the DataFrame to a new parquet file
logging.info("Writing the transformed dates DataFrame to parquet file") self.logger.info("Writing the transformed dates DataFrame to parquet file")
try: try:
dates_df.write_parquet(self.config['warehouse_data_path'] + '/dates.parquet') dates_df.write_parquet(self.config['warehouse_data_path'] + '/dates.parquet')
except Exception as e: except Exception as e:
logging.error(f"Failed to write the transformed dates DataFrame to parquet file: {e}") self.logger.error(f"Failed to write the transformed dates DataFrame to parquet file: {e}")
return return
pipeline/facts.py
+23 -21
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@@ -1,19 +1,21 @@
import polars as pl
import logging
import os import os
import polars as pl
class Facts: class Facts:
def __init__(self, config): def __init__(self, config,logger):
self.config = config self.config = config
self.base_file_path = self.config['base_data_path'] self.base_file_path = self.config['base_data_path']
self.logger = logger
os.makedirs(self.config['warehouse_data_path'], exist_ok=True) os.makedirs(self.config['warehouse_data_path'], exist_ok=True)
def get_full_file_path(self, file_name): def get_full_file_path(self, file_name):
return f"{self.base_file_path}/{file_name}" return f"{self.base_file_path}/{file_name}"
class FactTransactions(Facts): class FactTransactions(Facts):
def __init__(self, config): def __init__(self, config,logger):
super().__init__(config) super().__init__(config,logger)
self.file_path = self.get_full_file_path('transactions.parquet') self.file_path = self.get_full_file_path('transactions.parquet')
self.transform() self.transform()
@@ -21,7 +23,7 @@ class FactTransactions(Facts):
try: try:
source_transactions = pl.read_parquet(self.file_path) source_transactions = pl.read_parquet(self.file_path)
except FileNotFoundError: except FileNotFoundError:
logging.error("The transactions DataFrame does not exist") self.logger.error("The transactions DataFrame does not exist")
return return
try: try:
@@ -39,16 +41,16 @@ class FactTransactions(Facts):
"transfer_account_id" "transfer_account_id"
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to select columns from the transactions DataFrame: {e}") self.logger.error(f"Failed to select columns from the transactions DataFrame: {e}")
return return
logging.info("Transforming the transactions DataFrame") self.logger.info("Transforming the transactions DataFrame")
try: try:
resolve_transaction_dates = base_transactions.with_columns([ resolve_transaction_dates = base_transactions.with_columns([
pl.col("date").str.strptime(pl.Date, format="%Y-%m-%d").alias("date") pl.col("date").str.strptime(pl.Date, format="%Y-%m-%d").alias("date")
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to covert the date to date format: {e}") self.logger.error(f"Failed to covert the date to date format: {e}")
return return
try: try:
@@ -72,20 +74,20 @@ class FactTransactions(Facts):
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to transform the transactions DataFrame: {e}") self.logger.error(f"Failed to transform the transactions DataFrame: {e}")
return return
# Write the DataFrame to a new parquet file # Write the DataFrame to a new parquet file
logging.info("Writing the transformed transactions DataFrame to parquet file") self.logger.info("Writing the transformed transactions DataFrame to parquet file")
try: try:
drop_transaction_columns.write_parquet( drop_transaction_columns.write_parquet(
self.config['warehouse_data_path'] + '/transactions.parquet' self.config['warehouse_data_path'] + '/transactions.parquet'
) )
except Exception as e: except Exception as e:
logging.error(f"Failed to write the transformed transactions DataFrame: {e}") self.logger.error(f"Failed to write the transformed transactions DataFrame: {e}")
class FactScheduledTransactions(Facts): class FactScheduledTransactions(Facts):
def __init__(self, config): def __init__(self, config,logger):
super().__init__(config) super().__init__(config,logger)
self.file_path = self.get_full_file_path('scheduled_transactions.parquet') self.file_path = self.get_full_file_path('scheduled_transactions.parquet')
self.transform() self.transform()
@@ -93,7 +95,7 @@ class FactScheduledTransactions(Facts):
try: try:
source_scheduled = pl.read_parquet(self.file_path) source_scheduled = pl.read_parquet(self.file_path)
except FileNotFoundError: except FileNotFoundError:
logging.error("The scheduled transactions DataFrame does not exist") self.logger.error("The scheduled transactions DataFrame does not exist")
return return
try: try:
@@ -111,7 +113,7 @@ class FactScheduledTransactions(Facts):
"transfer_account_id" "transfer_account_id"
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to select columns from the scheduled transactions DataFrame: {e}") self.logger.error(f"Failed to select columns from the scheduled transactions DataFrame: {e}")
return return
try: try:
@@ -120,10 +122,10 @@ class FactScheduledTransactions(Facts):
pl.col("date_next").str.strptime(pl.Date, format="%Y-%m-%d").alias("date_next") pl.col("date_next").str.strptime(pl.Date, format="%Y-%m-%d").alias("date_next")
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to covert the date to date format: {e}") self.logger.error(f"Failed to covert the date to date format: {e}")
return return
logging.info("Transforming the scheduled transactions DataFrame") self.logger.info("Transforming the scheduled transactions DataFrame")
try: try:
add_scheduled_prefix = resolve_scheduled_dates.with_columns([ add_scheduled_prefix = resolve_scheduled_dates.with_columns([
pl.col("id").alias("scheduled_transaction_id") pl.col("id").alias("scheduled_transaction_id")
@@ -141,10 +143,10 @@ class FactScheduledTransactions(Facts):
"id", "amount" "id", "amount"
]) ])
except Exception as e: except Exception as e:
logging.error(f"Failed to transform the scheduled transactions DataFrame: {e}") self.logger.error(f"Failed to transform the scheduled transactions DataFrame: {e}")
return return
logging.info("Writing the transformed scheduled transactions DataFrame to parquet file") self.logger.info("Writing the transformed scheduled transactions DataFrame to parquet file")
try: try:
drop_scheduled_columns.write_parquet(self.config['warehouse_data_path'] + '/scheduled_transactions.parquet') drop_scheduled_columns.write_parquet(self.config['warehouse_data_path'] + '/scheduled_transactions.parquet')
except Exception as e: except Exception as e:
logging.error(f"Failed to write the transformed scheduled transactions DataFrame: {e}") self.logger.error(f"Failed to write the transformed scheduled transactions DataFrame: {e}")
pipeline/ingest.py
+30 -27
View File
@@ -1,15 +1,17 @@
import os
import time
import json import json
import logging import os
import requests
import sys import sys
from typing import Dict, Any import time
from typing import Any
import requests
import config.exit_codes as ec import config.exit_codes as ec
class Ingest: class Ingest:
def __init__(self, config: Dict[str, Any]): def __init__(self, config: dict[str, Any],logger):
""" """
Initialize the Ingest class with the provided configuration. Initialize the Ingest class with the provided configuration.
""" """
@@ -22,9 +24,10 @@ class Ingest:
self.headers = {'Authorization': f'Bearer {self.api_token}'} self.headers = {'Authorization': f'Bearer {self.api_token}'}
self.MAX_RETRIES = config['REQUESTS_MAX_RETRIES'] self.MAX_RETRIES = config['REQUESTS_MAX_RETRIES']
self.RETRY_DELAY = config['REQUESTS_RETRY_DELAY'] self.RETRY_DELAY = config['REQUESTS_RETRY_DELAY']
self.logger = logger
def save_entity_data_to_raw(self, entity: str, data: Dict[str, Any]): def save_entity_data_to_raw(self, entity: str, data: dict[str, Any]):
""" """
Save the data for a specific entity to a new cache file. Save the data for a specific entity to a new cache file.
""" """
@@ -33,15 +36,15 @@ class Ingest:
if not os.path.exists(directory): if not os.path.exists(directory):
os.makedirs(directory) os.makedirs(directory)
entity_file = f'{directory}/{current_time}.json' entity_file = f'{directory}/{current_time}.json'
logging.info(f"Saving {entity} data to {entity_file}") self.logger.info(f"Saving {entity} data to {entity_file}")
try: try:
with open(entity_file, 'w') as f: with open(entity_file, 'w') as f:
json.dump(data, f, indent=4) json.dump(data, f, indent=4)
except Exception as e: except Exception as e:
logging.error(f"Failed to save data for {entity} to {entity_file}") self.logger.error(f"Failed to save data for {entity} to {entity_file}")
raise e raise e
def load_knowledge_cache(self) -> Dict[str, Any]: def load_knowledge_cache(self) -> dict[str, Any]:
""" """
Load the knowledge cache from the file if it exists. Load the knowledge cache from the file if it exists.
""" """
@@ -59,7 +62,7 @@ class Ingest:
with open(self.knowledge_file, 'r') as f: with open(self.knowledge_file, 'r') as f:
knowledge_cache = json.load(f) knowledge_cache = json.load(f)
except FileNotFoundError: except FileNotFoundError:
logging.info(f"Knowledge file not found. Creating a new one at {self.knowledge_file}. This is normal for the first run.") self.logger.info(f"Knowledge file not found. Creating a new one at {self.knowledge_file}. This is normal for the first run.")
os.makedirs(os.path.dirname(self.knowledge_file), exist_ok=True) os.makedirs(os.path.dirname(self.knowledge_file), exist_ok=True)
knowledge_cache = {} knowledge_cache = {}
@@ -74,33 +77,33 @@ class Ingest:
with open(self.knowledge_file, 'w') as f: with open(self.knowledge_file, 'w') as f:
json.dump(knowledge_cache, f, indent=4) json.dump(knowledge_cache, f, indent=4)
except Exception as e: except Exception as e:
logging.error(f"Failed to update knowledge cache for {entity} in {self.knowledge_file}") self.logger.error(f"Failed to update knowledge cache for {entity} in {self.knowledge_file}")
raise e raise e
def handle_response(self, response) -> bool: def handle_response(self, response) -> bool:
if response.status_code == 400: if response.status_code == 400:
logging.error("Bad request. The request could not be understood by the API due to malformed syntax or validation errors.") self.logger.error("Bad request. The request could not be understood by the API due to malformed syntax or validation errors.")
sys.exit(ec.BAD_REQUEST) sys.exit(ec.BAD_REQUEST)
elif response.status_code == 401: elif response.status_code == 401:
logging.error("Unauthorized. Please check your API token.") self.logger.error("Unauthorized. Please check your API token.")
sys.exit(ec.UNAUTHORIZED_API_TOKEN) sys.exit(ec.UNAUTHORIZED_API_TOKEN)
elif response.status_code == 403: elif response.status_code == 403:
logging.error("Forbidden. Access is denied.") self.logger.error("Forbidden. Access is denied.")
sys.exit(ec.FORBIDDEN) sys.exit(ec.FORBIDDEN)
elif response.status_code == 404: elif response.status_code == 404:
logging.error("Not found. The specified URL does not exist.") self.logger.error("Not found. The specified URL does not exist.")
sys.exit(ec.NOT_FOUND) sys.exit(ec.NOT_FOUND)
elif response.status_code == 409: elif response.status_code == 409:
logging.error("Conflict. The resource cannot be saved due to a conflict.") self.logger.error("Conflict. The resource cannot be saved due to a conflict.")
sys.exit(ec.CONFLICT) sys.exit(ec.CONFLICT)
elif response.status_code == 429: elif response.status_code == 429:
logging.error("Too many requests. You have made too many requests in a short amount of time.") self.logger.error("Too many requests. You have made too many requests in a short amount of time.")
return True return True
elif response.status_code == 500: elif response.status_code == 500:
logging.error("Internal server error. The API experienced an unexpected error.") self.logger.error("Internal server error. The API experienced an unexpected error.")
return True return True
elif response.status_code == 503: elif response.status_code == 503:
logging.error("Service unavailable. The API is temporarily disabled or a request timeout occurred.") self.logger.error("Service unavailable. The API is temporarily disabled or a request timeout occurred.")
return True return True
else: else:
response.raise_for_status() response.raise_for_status()
@@ -113,14 +116,14 @@ class Ingest:
for entity in self.entities: for entity in self.entities:
file_path = f'data/raw/{entity}' file_path = f'data/raw/{entity}'
if os.path.exists(file_path) and os.listdir(file_path): if os.path.exists(file_path) and os.listdir(file_path):
logging.warning(f"Raw data exists for {entity} processing any raw data we already have.") self.logger.warning(f"Raw data exists for {entity} processing any raw data we already have.")
break # break here instead of continue as we dont want to update our server knowledge cache and potentially miss data. break # break here instead of continue as we dont want to update our server knowledge cache and potentially miss data.
knowledge_cache = self.load_knowledge_cache() knowledge_cache = self.load_knowledge_cache()
last_knowledge = knowledge_cache.get(entity, 0) last_knowledge = knowledge_cache.get(entity, 0)
#logging.debug(f'Last Knowledge of {entity}: {last_knowledge}') #logging.debug(f'Last Knowledge of {entity}: {last_knowledge}')
logging.info(f'Fetching {entity} data since last knowledge: {last_knowledge}') self.logger.info(f'Fetching {entity} data since last knowledge: {last_knowledge}')
url = f'{self.base_url}/{self.budget_id}/{entity}?last_knowledge_of_server={last_knowledge}' url = f'{self.base_url}/{self.budget_id}/{entity}?last_knowledge_of_server={last_knowledge}'
response = None response = None
for attempt in range(self.MAX_RETRIES): for attempt in range(self.MAX_RETRIES):
@@ -130,17 +133,17 @@ class Ingest:
if not should_retry: if not should_retry:
break # Exit the loop if the request is successful break # Exit the loop if the request is successful
except requests.exceptions.RequestException as e: except requests.exceptions.RequestException as e:
logging.error(f"Error fetching {entity} data (attempt {attempt + 1}/{self.MAX_RETRIES}): {e}") self.logger.error(f"Error fetching {entity} data (attempt {attempt + 1}/{self.MAX_RETRIES}): {e}")
if attempt < self.MAX_RETRIES - 1: if attempt < self.MAX_RETRIES - 1:
time.sleep(self.RETRY_DELAY) # Wait before retrying time.sleep(self.RETRY_DELAY) # Wait before retrying
else: else:
logging.error("Max retries reached. Exiting.") self.logger.error("Max retries reached. Exiting.")
sys.exit(ec.REQUESTS_ERROR) sys.exit(ec.REQUESTS_ERROR)
data = response.json() data = response.json()
logging.debug(f'response data: {data}') self.logger.debug(f'response data: {data}')
server_knowledge = data['data'].get('server_knowledge') server_knowledge = data['data'].get('server_knowledge')
logging.debug(f'{entity} new server knowledge: {server_knowledge}') self.logger.debug(f'{entity} new server knowledge: {server_knowledge}')
if server_knowledge is not None and server_knowledge != last_knowledge: if server_knowledge is not None and server_knowledge != last_knowledge:
self.update_server_knowledge_cache(entity, server_knowledge) self.update_server_knowledge_cache(entity, server_knowledge)
@@ -148,4 +151,4 @@ class Ingest:
entity_data.pop('server_knowledge', None) entity_data.pop('server_knowledge', None)
self.save_entity_data_to_raw(entity, entity_data) self.save_entity_data_to_raw(entity, entity_data)
else: else:
logging.info(f"No new data for {entity}. Skipping cache update.") self.logger.info(f"No new data for {entity}. Skipping cache update.")
pipeline/pipeline_main.py
+12 -18
View File
@@ -1,25 +1,19 @@
'''Module to run the data pipeline''' '''Module to run the data pipeline'''
import logging from pipeline import dimensions, facts, ingest, raw_to_base
from pipeline.ingest import Ingest
from pipeline.raw_to_base import RawToBase
from pipeline.dimensions import DimAccounts, DimCategories, DimPayees, DimDate
from pipeline.facts import FactTransactions, FactScheduledTransactions
def pipeline_main(config): def pipeline_main(config, logger):
'''Run the data pipeline''' '''Run the data pipeline'''
logging.info('Starting data pipeline') logger.info('Starting data pipeline')
ingest = Ingest(config) ingest.Ingest(config,logger).start_ingestion()
ingest.start_ingestion() raw_to_base.RawToBase(config,logger)
RawToBase(config) dimensions.DimAccounts(config,logger)
DimAccounts(config) dimensions.DimCategories(config,logger)
DimCategories(config) dimensions.DimPayees(config,logger)
DimPayees(config) dimensions.DimDate(config,logger)
DimDate(config) facts.FactTransactions(config,logger)
FactTransactions(config) facts.FactScheduledTransactions(config,logger)
FactScheduledTransactions(config)
logging.info('Data pipeline completed successfully') logger.info('Data pipeline completed successfully')
pipeline/raw_to_base.py
+44 -41
View File
@@ -1,14 +1,16 @@
import os
import json import json
import logging import os
import sys import sys
from datetime import datetime from datetime import datetime
from typing import Dict, Any from typing import Any
import config.exit_codes as ec
import polars as pl import polars as pl
import config.exit_codes as ec
class RawToBase: class RawToBase:
def __init__(self, config: Dict[str, Any]): def __init__(self, config: dict[str, Any],logger):
self.entities = config['entities'] self.entities = config['entities']
self.primary_keys = config['primary_keys'] self.primary_keys = config['primary_keys']
self.raw_data_path = config['raw_data_path'] self.raw_data_path = config['raw_data_path']
@@ -16,39 +18,40 @@ class RawToBase:
self.base_data_path = config['base_data_path'] self.base_data_path = config['base_data_path']
self.data = {} self.data = {}
self.base_data = {} self.base_data = {}
self.logger = logger
self.process_entities() self.process_entities()
def process_entities(self): def process_entities(self):
for entity in self.entities: for entity in self.entities:
logging.info(f"Processing entity: {entity}") self.logger.info(f"Processing entity: {entity}")
# check the file is in the raw data path, if not skip the entity # check the file is in the raw data path, if not skip the entity
folder_path = os.path.join(self.raw_data_path, entity) folder_path = os.path.join(self.raw_data_path, entity)
folder_contents = os.listdir(folder_path) folder_contents = os.listdir(folder_path)
if not folder_contents: if not folder_contents:
logging.warning(f"The folder {folder_path} is empty skipping {entity}.") self.logger.warning(f"The folder {folder_path} is empty skipping {entity}.")
continue continue
if not self._load_raw_data(entity): if not self._load_raw_data(entity):
logging.warning(f"Skipping processing for entity: {entity} due to empty data.") self.logger.warning(f"Skipping processing for entity: {entity} due to empty data.")
continue continue
self._load_existing_base_data(entity) self._load_existing_base_data(entity)
self._combine_data(entity) self._combine_data(entity)
if not self._save_base_data(entity): if not self._save_base_data(entity):
logging.error(f"Skipping processing for entity: {entity} due to failed saving base data.") self.logger.error(f"Skipping processing for entity: {entity} due to failed saving base data.")
continue continue
if not self._move_raw_to_processed(entity): if not self._move_raw_to_processed(entity):
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}.") self.logger.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}.")
sys.exit(ec.MOVE_FILE_ERROR) sys.exit(ec.MOVE_FILE_ERROR)
logging.info(f"Successfully processed entity: {entity}") self.logger.info(f"Successfully processed entity: {entity}")
def _load_raw_data(self, entity): def _load_raw_data(self, entity):
entity_path = os.path.join(self.raw_data_path, entity) entity_path = os.path.join(self.raw_data_path, entity)
self.data[entity] = [] self.data[entity] = []
logging.debug(f"Loading data for entity: {entity} from path: {entity_path}") self.logger.debug(f"Loading data for entity: {entity} from path: {entity_path}")
files = [f for f in os.listdir(entity_path) if f.endswith('.json')] files = [f for f in os.listdir(entity_path) if f.endswith('.json')]
if len(files) > 1: if len(files) > 1:
logging.error(f"""More than one file found in path: {entity_path}. Skipping processing for entity: {entity}. self.logger.error(f"""More than one file found in path: {entity_path}. Skipping processing for entity: {entity}.
recommended actions is to move the newest file(s) out, re-run main.py. recommended actions is to move the newest file(s) out, re-run main.py.
Then move the files back in one at a time oldest to newest and run again for each file""") Then move the files back in one at a time oldest to newest and run again for each file""")
return False return False
@@ -56,12 +59,12 @@ Then move the files back in one at a time oldest to newest and run again for eac
if len(files) == 1: if len(files) == 1:
file_name = files[0] file_name = files[0]
file_path = os.path.join(entity_path, file_name) file_path = os.path.join(entity_path, file_name)
logging.debug(f"Reading file: {file_path}") self.logger.debug(f"Reading file: {file_path}")
try: try:
with open(file_path, 'r') as f: with open(file_path, 'r') as f:
data = json.load(f) data = json.load(f)
except Exception as e: except Exception as e:
logging.error(f"Failed to load data from file: {file_path}, error: {e}") self.logger.error(f"Failed to load data from file: {file_path}, error: {e}")
return False return False
if self._is_data_empty(entity, data, file_path): if self._is_data_empty(entity, data, file_path):
@@ -69,37 +72,37 @@ Then move the files back in one at a time oldest to newest and run again for eac
modified_data = self._add_ingestion_date(entity, data, file_name) modified_data = self._add_ingestion_date(entity, data, file_name)
for index, record in enumerate(modified_data): for index, record in enumerate(modified_data):
logging.debug(f"processing record: {record}") self.logger.debug(f"processing record: {record}")
filtered_record = {k: v for k, v in record.items() if not k.startswith('debt_')} filtered_record = {k: v for k, v in record.items() if not k.startswith('debt_')}
modified_data[index] = filtered_record modified_data[index] = filtered_record
logging.debug(f"filtered record: {filtered_record}") self.logger.debug(f"filtered record: {filtered_record}")
logging.debug(f"modified data: {modified_data}") self.logger.debug(f"modified data: {modified_data}")
self.data[entity].append(modified_data) self.data[entity].append(modified_data)
logging.debug(f"Successfully loaded data from file: {file_path}") self.logger.debug(f"Successfully loaded data from file: {file_path}")
return True return True
def _is_data_empty(self, entity, data, file_path): def _is_data_empty(self, entity, data, file_path):
logging.debug(f"Checking if data is empty for entity: {entity}") self.logger.debug(f"Checking if data is empty for entity: {entity}")
if entity == "categories": if entity == "categories":
has_categories = any(group.get("categories") for group in data.get("category_groups", [])) has_categories = any(group.get("categories") for group in data.get("category_groups", []))
if not has_categories: if not has_categories:
logging.warning(f"Received empty data for entity: {entity} in file: {file_path}, deleting file.") self.logger.warning(f"Received empty data for entity: {entity} in file: {file_path}, deleting file.")
os.remove(file_path) os.remove(file_path)
return True return True
else: else:
if not data.get(entity, []): if not data.get(entity, []):
logging.warning(f"Received empty data for entity: {entity} in file: {file_path}, deleting file.") self.logger.warning(f"Received empty data for entity: {entity} in file: {file_path}, deleting file.")
os.remove(file_path) os.remove(file_path)
return True return True
logging.debug(f"Data is not empty for entity: {entity}") self.logger.debug(f"Data is not empty for entity: {entity}")
return False return False
def _add_ingestion_date(self, entity, data, file_name): def _add_ingestion_date(self, entity, data, file_name):
modified_data = [] modified_data = []
ingestion_date = datetime.strptime(file_name.split('.')[0], '%Y%m%d%H%M%S').date() ingestion_date = datetime.strptime(file_name.split('.')[0], '%Y%m%d%H%M%S').date()
logging.debug(f"Adding ingestion date to data for entity: {entity}") self.logger.debug(f"Adding ingestion date to data for entity: {entity}")
if entity == 'categories': if entity == 'categories':
for group in data.get('category_groups', []): for group in data.get('category_groups', []):
for category in group.get('categories', []): for category in group.get('categories', []):
@@ -112,22 +115,22 @@ Then move the files back in one at a time oldest to newest and run again for eac
modified_data.append(record) modified_data.append(record)
else: else:
modified_data.append({'record': record, 'ingestion_date': ingestion_date}) modified_data.append({'record': record, 'ingestion_date': ingestion_date})
logging.debug(f"Successfully added ingestion date to data for entity: {entity}") self.logger.debug(f"Successfully added ingestion date to data for entity: {entity}")
return modified_data return modified_data
def _load_existing_base_data(self, entity): def _load_existing_base_data(self, entity):
base_path = os.path.join(self.base_data_path, f'{entity}.parquet') base_path = os.path.join(self.base_data_path, f'{entity}.parquet')
if os.path.exists(base_path): if os.path.exists(base_path):
logging.debug(f"Loading existing base data for entity: {entity} from path: {base_path}") self.logger.debug(f"Loading existing base data for entity: {entity} from path: {base_path}")
try: try:
self.base_data[entity] = pl.read_parquet(base_path) self.base_data[entity] = pl.read_parquet(base_path)
except Exception as e: except Exception as e:
logging.error(f"Failed to load existing base data for entity: {entity}, error: {e}, Creating an empty DataFrame") self.logger.error(f"Failed to load existing base data for entity: {entity}, error: {e}, Creating an empty DataFrame")
self.base_data[entity] = pl.DataFrame() self.base_data[entity] = pl.DataFrame()
logging.debug(f"Successfully loaded existing base data for entity: {entity}") self.logger.debug(f"Successfully loaded existing base data for entity: {entity}")
else: else:
self.base_data[entity] = pl.DataFrame() self.base_data[entity] = pl.DataFrame()
logging.debug(f"No existing base data found for entity: {entity}, starting with an empty DataFrame") self.logger.debug(f"No existing base data found for entity: {entity}, starting with an empty DataFrame")
#Function to cast null Struct({'': Null}) columns to String #Function to cast null Struct({'': Null}) columns to String
def _cast_struct_to_string(self,df): def _cast_struct_to_string(self,df):
@@ -142,7 +145,7 @@ Then move the files back in one at a time oldest to newest and run again for eac
return df return df
def _combine_data(self, entity): def _combine_data(self, entity):
logging.debug(f"Combining data for entity: {entity}") self.logger.debug(f"Combining data for entity: {entity}")
combined_data = [] combined_data = []
# Combine data from the entity # Combine data from the entity
@@ -159,8 +162,8 @@ Then move the files back in one at a time oldest to newest and run again for eac
# Ensure the unique id column is preserved # Ensure the unique id column is preserved
unique_id = self.primary_keys[entity]['unique_id'] unique_id = self.primary_keys[entity]['unique_id']
if unique_id not in new_data_df.columns: if unique_id not in new_data_df.columns:
logging.error(f"Unique ID column '{unique_id}' not found in the combined data for entity: {entity}") self.logger.error(f"Unique ID column '{unique_id}' not found in the combined data for entity: {entity}")
exit(ec.UNIQUE_ID_NOT_FOUND) sys.exit(ec.UNIQUE_ID_NOT_FOUND)
# Cast columns in new_data_df # Cast columns in new_data_df
new_data_df = self._cast_struct_to_string(new_data_df) new_data_df = self._cast_struct_to_string(new_data_df)
@@ -188,7 +191,7 @@ Then move the files back in one at a time oldest to newest and run again for eac
else: else:
self.base_data[entity] = new_data_df self.base_data[entity] = new_data_df
logging.debug(f"Successfully combined data for entity: {entity}") self.logger.debug(f"Successfully combined data for entity: {entity}")
def _save_base_data(self, entity): def _save_base_data(self, entity):
os.makedirs(self.base_data_path, exist_ok=True) os.makedirs(self.base_data_path, exist_ok=True)
@@ -196,9 +199,9 @@ Then move the files back in one at a time oldest to newest and run again for eac
try: try:
self.base_data[entity].write_parquet(file_path) self.base_data[entity].write_parquet(file_path)
except Exception as e: except Exception as e:
logging.error(f"Failed to save base data for entity: {entity}, error: {e}") self.logger.error(f"Failed to save base data for entity: {entity}, error: {e}")
return False return False
logging.debug(f"Saved base data for entity: {entity} to path: {file_path}") self.logger.debug(f"Saved base data for entity: {entity} to path: {file_path}")
return True return True
def _move_raw_to_processed(self, entity): def _move_raw_to_processed(self, entity):
@@ -210,24 +213,24 @@ Then move the files back in one at a time oldest to newest and run again for eac
try: try:
files = [f for f in os.listdir(raw_entity_path) if f.endswith('.json')] files = [f for f in os.listdir(raw_entity_path) if f.endswith('.json')]
if len(files) != 1: if len(files) != 1:
logging.error(f"Expected exactly one file in path: {raw_entity_path}, but found {len(files)}") self.logger.error(f"Expected exactly one file in path: {raw_entity_path}, but found {len(files)}")
return False return False
file_name = files[0] file_name = files[0]
raw_file_path = os.path.join(raw_entity_path, file_name) raw_file_path = os.path.join(raw_entity_path, file_name)
processed_file_path = os.path.join(processed_path, file_name) processed_file_path = os.path.join(processed_path, file_name)
logging.debug(f"Moving file: {raw_file_path} to {processed_file_path}") self.logger.debug(f"Moving file: {raw_file_path} to {processed_file_path}")
os.rename(raw_file_path, processed_file_path) os.rename(raw_file_path, processed_file_path)
logging.debug(f"Moved file: {file_name} to processed") self.logger.debug(f"Moved file: {file_name} to processed")
except FileNotFoundError as e: except FileNotFoundError as e:
logging.error(f"File not found: {e}") self.logger.error(f"File not found: {e}")
return False return False
except Exception as e: except Exception as e:
logging.error(f"Failed to move file for entity: {entity}, error: {e}") self.logger.error(f"Failed to move file for entity: {entity}, error: {e}")
return False return False
logging.debug(f"Moved processed file for entity: {entity} to path: {processed_path}") self.logger.debug(f"Moved processed file for entity: {entity} to path: {processed_path}")
return True return True
pyproject.toml
+18
View File
@@ -0,0 +1,18 @@
[project]
name = "data-pipeline-for-ynab"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
"dash>=4.4.1",
"dash-bootstrap-components>=2.0.4",
"pandas>=3.0.5",
"polars>=1.43.0",
"pyarrow>=25.0.0",
"pytest>=9.1.1",
"python-dotenv>=1.2.2",
"pyyaml>=6.0.3",
"requests>=2.34.2",
"ruff>=0.16.0",
]
tests/test_ingest.py
+4 -5
View File
@@ -1,12 +1,11 @@
import pytest
from unittest.mock import patch, mock_open, MagicMock
import json import json
import os import os
from typing import Dict, Any from unittest.mock import MagicMock, mock_open, patch
import logging
import pytest
from pipeline.ingest import Ingest
import config.exit_codes as ec import config.exit_codes as ec
from pipeline.ingest import Ingest
# Mock configuration for initializing the Ingest class # Mock configuration for initializing the Ingest class
mock_config = { mock_config = {
tests/test_main.py
+5 -6
View File
@@ -1,12 +1,11 @@
import pytest
from unittest.mock import patch, mock_open, MagicMock
import yaml
import logging import logging
import atexit from unittest.mock import MagicMock, mock_open, patch
import sys
import yaml
from main import set_up_logging, load_config
import config.exit_codes as ec import config.exit_codes as ec
from main import load_config, set_up_logging
# Test for set_up_logging function # Test for set_up_logging function
def test_set_up_logging_success(): def test_set_up_logging_success():
uv.lock
Generated
+774
View File
@@ -0,0 +1,774 @@
version = 1
revision = 3
requires-python = ">=3.13"
resolution-markers = [
"python_full_version >= '3.14' and sys_platform == 'win32'",
"python_full_version >= '3.14' and sys_platform == 'emscripten'",
"python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
"python_full_version < '3.14' and sys_platform == 'win32'",
"python_full_version < '3.14' and sys_platform == 'emscripten'",
"python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
]
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version = "1.9.0"
source = { registry = "https://pypi.org/simple" }
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name = "certifi"
version = "2026.7.22"
source = { registry = "https://pypi.org/simple" }
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name = "charset-normalizer"
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