switched root dir to the application itself

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2024-09-10 15:08:51 +03:00
parent b923798799
commit 9f26052fe2
19 changed files with 0 additions and 201 deletions

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management/__init__.py Normal file
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import os
import sys
import json
import glob
import uuid
import asyncio
from datetime import datetime, timedelta
import pandas as pd
import django
from asgiref.sync import sync_to_async
from django.core.management.base import BaseCommand
from GaiaDBInterface.models import GaiaSource, CatalogFile
class Command(BaseCommand):
help = 'Ingest CSV files into the database'
def handle(self, *args, **options):
if os.path.exists('config.json'):
with open('config.json', 'r') as config_file:
config = json.load(config_file)
previous_choice = config.get('directory', '')
else:
previous_choice = ''
#fetching the file list
directory = input(f"Please enter the path to the directory containing the csv files [{previous_choice}]: ")
if not directory:
directory = previous_choice
with open('config.json', 'w') as config_file:
json.dump({'directory': directory}, config_file)
print(f"Selected directory: {directory}")
csv_files = glob.glob(os.path.join(directory, '*csv*'))
self.stdout.write(f"Files found: {len(csv_files)}.")
self.stdout.write("Populating the file database...")
#initialize the counter
new_files_count = 0
#add files as catalogfile instances into the database
for file_path in csv_files:
file_name = os.path.basename(file_path)
#use get_or_create to not add files twice
catalog_file, created = CatalogFile.objects.get_or_create(
name=file_name,
defaults={'uuid': uuid.uuid4(), 'status': 'PENDING'}
)
if created:
new_files_count += 1
#show how many duplicates were already in db
self.stdout.write(f"File database populated. \n{len(csv_files) - new_files_count} were already in the database.")
input("Press Enter to continue...")
#bulk creation function
@sync_to_async
def bulk_create_gaia_sources(instances): #catalog status update to ingested after ingesting the sources
GaiaSource.objects.bulk_create(instances)
@sync_to_async
def update_catalog_file_status(catalog_file, status): #catalog file status updater
catalog_file.status = status
catalog_file.save()
@sync_to_async
def get_all_catalog_files(): #catalog file list getter
return list(CatalogFile.objects.all())
@sync_to_async
def delete_gaiasources_for_catalogfile(catalog_file): #for deleting the sources from partially ingested files in case of improper shutdown
GaiaSource.objects.filter(catalog_file=catalog_file).delete()
@sync_to_async
def count_ingested_files():
return CatalogFile.objects.filter(status='INGESTED').count()
current_time = (datetime.now() + timedelta(hours=3)).strftime("%H:%M:%S")
self.stdout.write(f"[{current_time}] Starting the data ingestion.")
#function that iterates over all catalog files and ingests sources from them
async def ingest_files():
#catalog_files = CatalogFile.objects.all()
catalog_files = await get_all_catalog_files()
for catalog_file in catalog_files:
if catalog_file.status == 'INGESTED':
self.stdout.write(f"Skipping {catalog_file.name} as it is already ingested.")
continue
file_path = os.path.join(directory, catalog_file.name)
#self.stdout.write(file_path)
if os.path.exists(file_path): #check if the file exists at all just in case
pass
if catalog_file.status == 'IN_PROGRESS':
self.stdout.write(f"{catalog_file.name} seems to have been interrupted, starting over.")#if the file status is in_progress, it must've
await delete_gaiasources_for_catalogfile(catalog_file) #been interrupted mid-ingest, delete all the
#associated sources if there are any and start over
#comment # to avoid the ecsv metadata lines
#switched to header=1000 and pyarrow backend for speed
df = pd.read_csv(
file_path,
#comment='#',
header=1000,
engine="pyarrow"
)
gaiasource_fields = [field.name for field in GaiaSource._meta.get_fields()] #get fields from the model
common_fields = [field for field in gaiasource_fields if field in df.columns] #find common fields between the df and the model
#this way we can add new fields to the model and
df_filtered = df[common_fields] #the code will pick them up here
data_dict = df_filtered.to_dict(orient='records') #translate the df into a dict
gaia_source_instances = [
GaiaSource(**data, catalog_file=catalog_file) for data in data_dict #create gaiasource instances, set the foreignkey
]
await update_catalog_file_status(catalog_file, 'IN_PROGRESS')
await bulk_create_gaia_sources(gaia_source_instances) #bulk-create instances from the dict
await update_catalog_file_status(catalog_file,'INGESTED') #update the catalogfile instance status field to 'INGESTED'
ingested_files_count = await count_ingested_files()
current_time = (datetime.now() + timedelta(hours=3)).strftime("%H:%M:%S") #Timestamp and progress self.stdout.write statement
self.stdout.write(f"[{current_time}] {ingested_files_count}/{len(catalog_files)}")
asyncio.run(ingest_files())