2020-03-29 07:05:09 +00:00
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''' handle reading a csv from goodreads '''
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2020-03-25 12:29:21 +00:00
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import csv
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2020-04-20 16:10:19 +00:00
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from requests import HTTPError
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2020-03-25 12:29:21 +00:00
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2020-04-20 16:10:19 +00:00
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from fedireads import outgoing
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from fedireads.tasks import app
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2020-04-21 14:09:21 +00:00
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from fedireads.models import ImportJob, ImportItem
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2020-04-22 11:43:10 +00:00
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from fedireads.status import create_notification
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2020-03-29 07:05:09 +00:00
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2020-04-28 13:59:48 +00:00
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# TODO: remove or increase once we're confident it's not causing problems.
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MAX_ENTRIES = 500
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2020-03-25 12:58:27 +00:00
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2020-03-29 07:05:09 +00:00
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2020-04-21 14:09:21 +00:00
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def create_job(user, csv_file):
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job = ImportJob.objects.create(user=user)
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for index, entry in enumerate(list(csv.DictReader(csv_file))[:MAX_ENTRIES]):
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2020-04-29 14:33:06 +00:00
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if not all(x in entry for x in ('ISBN13', 'Title', 'Author')):
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raise ValueError("Author, title, and isbn must be in data.")
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2020-04-21 14:09:21 +00:00
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ImportItem(job=job, index=index, data=entry).save()
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return job
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2020-03-25 12:29:21 +00:00
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2020-04-21 14:09:21 +00:00
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def start_import(job):
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result = import_data.delay(job.id)
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job.task_id = result.id
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job.save()
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2020-04-20 16:10:19 +00:00
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@app.task
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2020-04-21 14:09:21 +00:00
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def import_data(job_id):
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job = ImportJob.objects.get(id=job_id)
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2020-04-22 11:43:10 +00:00
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try:
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results = []
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for item in job.items.all():
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try:
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item.resolve()
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except HTTPError:
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pass
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if item.book:
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item.save()
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results.append(item)
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else:
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item.fail_reason = "Could not match book on OpenLibrary"
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item.save()
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2020-04-22 13:16:46 +00:00
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status = outgoing.handle_import_books(job.user, results)
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if status:
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job.import_status = status
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job.save()
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2020-04-22 11:43:10 +00:00
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finally:
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create_notification(job.user, 'IMPORT', related_import=job)
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