feat(ingest): source-bucket registry keyed on ingest source
Generalises the Daedalus-only cross-bucket fetch into a registry (SOURCE_S3_BUCKETS) keyed on the IngestJob `source` field, so new upstream sources (Spelunker) can ingest from their own buckets. The ingest task now calls fetch_from_source(job.source, job.s3_key) and falls back to "daedalus" for blank/unknown sources (backwards compatible). Adds SPELUNKER_S3_* env vars and worker env scoping. Replaces daedalus_s3.py with source_s3.py. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
13
.env.example
13
.env.example
@@ -78,6 +78,19 @@ DAEDALUS_S3_REGION_NAME=us-east-1
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DAEDALUS_S3_USE_SSL=True
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DAEDALUS_S3_VERIFY=True
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# --- Spelunker S3 (cross-bucket reads for ingest, source="spelunker") ---
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# Consumed by: worker only
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# Spelunker scrapes web/git documents into its own bucket and posts ingest
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# requests with source="spelunker". These creds should be scoped read-only
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# to the Spelunker bucket in your secret manager.
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SPELUNKER_S3_ENDPOINT_URL=https://nyx.helu.ca:8555
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SPELUNKER_S3_ACCESS_KEY_ID=
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SPELUNKER_S3_SECRET_ACCESS_KEY=
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SPELUNKER_S3_BUCKET_NAME=spelunker
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SPELUNKER_S3_REGION_NAME=us-east-1
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SPELUNKER_S3_USE_SSL=True
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SPELUNKER_S3_VERIFY=True
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# --- Celery / RabbitMQ (Oberon) ---------------------------------------------
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# Consumed by: app (producer), worker (consumer). NOT mcp.
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# Remember to percent-encode any password characters that have meaning in a
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@@ -339,6 +339,13 @@ services:
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- DAEDALUS_S3_REGION_NAME=${DAEDALUS_S3_REGION_NAME}
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- DAEDALUS_S3_USE_SSL=${DAEDALUS_S3_USE_SSL}
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- DAEDALUS_S3_VERIFY=${DAEDALUS_S3_VERIFY}
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- SPELUNKER_S3_ENDPOINT_URL=${SPELUNKER_S3_ENDPOINT_URL}
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- SPELUNKER_S3_ACCESS_KEY_ID=${SPELUNKER_S3_ACCESS_KEY_ID}
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- SPELUNKER_S3_SECRET_ACCESS_KEY=${SPELUNKER_S3_SECRET_ACCESS_KEY}
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- SPELUNKER_S3_BUCKET_NAME=${SPELUNKER_S3_BUCKET_NAME}
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- SPELUNKER_S3_REGION_NAME=${SPELUNKER_S3_REGION_NAME}
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- SPELUNKER_S3_USE_SSL=${SPELUNKER_S3_USE_SSL}
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- SPELUNKER_S3_VERIFY=${SPELUNKER_S3_VERIFY}
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# Celery / RabbitMQ
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- CELERY_BROKER_URL=${CELERY_BROKER_URL}
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- CELERY_RESULT_BACKEND=${CELERY_RESULT_BACKEND}
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@@ -1,70 +0,0 @@
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"""
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Cross-bucket S3 helper for ingesting files from the Daedalus S3 bucket
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into Mnemosyne's own bucket.
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Daedalus uploads files to its own bucket (configured per Daedalus deployment)
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and posts an ingest request to Mnemosyne with the s3_key. This module fetches
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that file using read-only Daedalus credentials and writes it to Mnemosyne's
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bucket via the standard `default_storage` backend so the rest of the pipeline
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(parsing, chunking, embedding) works unchanged.
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"""
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import logging
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import boto3
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from django.conf import settings
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from django.core.files.base import ContentFile
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from django.core.files.storage import default_storage
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logger = logging.getLogger(__name__)
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def _daedalus_s3_client():
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"""Build a boto3 S3 client pointed at the Daedalus bucket."""
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return boto3.client(
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"s3",
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endpoint_url=settings.DAEDALUS_S3_ENDPOINT_URL or None,
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aws_access_key_id=settings.DAEDALUS_S3_ACCESS_KEY_ID,
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aws_secret_access_key=settings.DAEDALUS_S3_SECRET_ACCESS_KEY,
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region_name=settings.DAEDALUS_S3_REGION_NAME,
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use_ssl=settings.DAEDALUS_S3_USE_SSL,
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verify=settings.DAEDALUS_S3_VERIFY,
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)
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def fetch_from_daedalus(daedalus_s3_key: str) -> bytes:
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"""
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Read a file from the Daedalus S3 bucket.
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:param daedalus_s3_key: Object key in the Daedalus bucket.
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:returns: File bytes.
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:raises: botocore exceptions on failure (caller decides retry).
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"""
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client = _daedalus_s3_client()
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bucket = settings.DAEDALUS_S3_BUCKET_NAME
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logger.debug(
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"Fetching from Daedalus S3 bucket=%s key=%s", bucket, daedalus_s3_key
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)
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response = client.get_object(Bucket=bucket, Key=daedalus_s3_key)
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data = response["Body"].read()
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logger.info(
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"Fetched from Daedalus S3 bucket=%s key=%s size=%d",
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bucket, daedalus_s3_key, len(data),
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)
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return data
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def copy_into_mnemosyne(data: bytes, mnemosyne_s3_key: str) -> str:
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"""
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Write bytes into Mnemosyne's S3 bucket via the default_storage backend.
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:param data: File bytes (already in memory).
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:param mnemosyne_s3_key: Target object key in Mnemosyne's bucket.
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:returns: The actual key written (may differ from requested if
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`file_overwrite=False` and the key existed).
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"""
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saved_key = default_storage.save(mnemosyne_s3_key, ContentFile(data))
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logger.info(
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"Wrote to Mnemosyne S3 key=%s size=%d", saved_key, len(data),
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)
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return saved_key
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88
mnemosyne/library/services/source_s3.py
Normal file
88
mnemosyne/library/services/source_s3.py
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@@ -0,0 +1,88 @@
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"""
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Cross-bucket S3 helper for ingesting files from upstream source buckets
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into Mnemosyne's own bucket.
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Each upstream system (Daedalus, Spelunker, ...) writes files to its own S3
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bucket and posts an ingest request to Mnemosyne carrying a `source`
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identifier and the object key. This module looks up that source's read
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credentials in settings.SOURCE_S3_BUCKETS, fetches the file, and writes it
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into Mnemosyne's bucket via the standard `default_storage` backend so the
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rest of the pipeline (parsing, chunking, embedding) works unchanged.
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"""
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import logging
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import boto3
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from django.conf import settings
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from django.core.files.base import ContentFile
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from django.core.files.storage import default_storage
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logger = logging.getLogger(__name__)
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DEFAULT_SOURCE = "daedalus"
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def _source_config(source: str) -> dict:
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"""
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Resolve the S3 read config for an ingest source.
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Unknown or blank sources fall back to DEFAULT_SOURCE for backwards
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compatibility with pre-registry ingest requests.
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"""
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registry = settings.SOURCE_S3_BUCKETS
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key = source if source in registry else DEFAULT_SOURCE
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if key not in registry:
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raise RuntimeError(
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f"No S3 bucket configured for source '{source}' "
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f"(and no '{DEFAULT_SOURCE}' fallback)."
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)
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return registry[key]
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def _source_s3_client(config: dict):
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"""Build a boto3 S3 client pointed at a source bucket."""
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return boto3.client(
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"s3",
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endpoint_url=config["endpoint_url"] or None,
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aws_access_key_id=config["access_key_id"],
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aws_secret_access_key=config["secret_access_key"],
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region_name=config["region_name"],
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use_ssl=config["use_ssl"],
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verify=config["verify"],
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)
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def fetch_from_source(source: str, s3_key: str) -> bytes:
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"""
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Read a file from an upstream source's S3 bucket.
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:param source: Ingest source identifier (e.g. "daedalus", "spelunker").
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:param s3_key: Object key in the source bucket.
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:returns: File bytes.
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:raises: botocore exceptions on failure (caller decides retry).
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"""
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config = _source_config(source)
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client = _source_s3_client(config)
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bucket = config["bucket_name"]
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logger.debug("Fetching from source=%s bucket=%s key=%s", source, bucket, s3_key)
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response = client.get_object(Bucket=bucket, Key=s3_key)
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data = response["Body"].read()
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logger.info(
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"Fetched from source=%s bucket=%s key=%s size=%d",
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source, bucket, s3_key, len(data),
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)
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return data
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def copy_into_mnemosyne(data: bytes, mnemosyne_s3_key: str) -> str:
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"""
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Write bytes into Mnemosyne's S3 bucket via the default_storage backend.
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:param data: File bytes (already in memory).
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:param mnemosyne_s3_key: Target object key in Mnemosyne's bucket.
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:returns: The actual key written (may differ from requested if
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`file_overwrite=False` and the key existed).
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"""
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saved_key = default_storage.save(mnemosyne_s3_key, ContentFile(data))
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logger.info("Wrote to Mnemosyne S3 key=%s size=%d", saved_key, len(data))
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return saved_key
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@@ -347,9 +347,9 @@ def ingest_from_daedalus(self, job_id: str):
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from datetime import datetime, timezone
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from library.models import IngestJob, Item, Library
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from library.services.daedalus_s3 import (
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from library.services.source_s3 import (
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copy_into_mnemosyne,
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fetch_from_daedalus,
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fetch_from_source,
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)
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from library.services.pipeline import EmbeddingPipeline
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@@ -401,11 +401,11 @@ def ingest_from_daedalus(self, job_id: str):
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)
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_delete_item_and_chunks(prior_item_uid)
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# --- 3. Fetch from Daedalus, copy into Mnemosyne bucket ---
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# --- 3. Fetch from the source bucket, copy into Mnemosyne bucket ---
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job.progress = "copying"
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job.save(update_fields=["progress"])
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data = fetch_from_daedalus(job.s3_key)
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data = fetch_from_source(job.source, job.s3_key)
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# --- 4. Create Item node ---
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ext = _normalize_file_type(job.file_type)
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61
mnemosyne/library/tests/test_source_s3.py
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61
mnemosyne/library/tests/test_source_s3.py
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@@ -0,0 +1,61 @@
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"""Tests for the source-bucket registry resolution."""
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from unittest.mock import MagicMock, patch
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from django.test import SimpleTestCase, override_settings
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from library.services import source_s3
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_REGISTRY = {
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"daedalus": {
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"endpoint_url": "https://nyx.test:8555",
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"access_key_id": "dae_key",
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"secret_access_key": "dae_secret",
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"bucket_name": "daedalus",
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"region_name": "us-east-1",
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"use_ssl": True,
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"verify": True,
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},
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"spelunker": {
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"endpoint_url": "https://nyx.test:8555",
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"access_key_id": "spel_key",
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"secret_access_key": "spel_secret",
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"bucket_name": "spelunker",
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"region_name": "us-east-1",
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"use_ssl": True,
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"verify": True,
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},
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}
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@override_settings(SOURCE_S3_BUCKETS=_REGISTRY)
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class SourceConfigTest(SimpleTestCase):
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def test_known_source(self):
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cfg = source_s3._source_config("spelunker")
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self.assertEqual(cfg["bucket_name"], "spelunker")
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self.assertEqual(cfg["access_key_id"], "spel_key")
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def test_unknown_source_falls_back_to_daedalus(self):
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cfg = source_s3._source_config("totally-unknown")
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self.assertEqual(cfg["bucket_name"], "daedalus")
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def test_blank_source_falls_back_to_daedalus(self):
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cfg = source_s3._source_config("")
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self.assertEqual(cfg["bucket_name"], "daedalus")
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@patch("library.services.source_s3.boto3.client")
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def test_fetch_uses_source_bucket(self, mock_boto_client):
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client = MagicMock()
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body = MagicMock()
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body.read.return_value = b"file-bytes"
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client.get_object.return_value = {"Body": body}
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mock_boto_client.return_value = client
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data = source_s3.fetch_from_source("spelunker", "3/readme.md")
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self.assertEqual(data, b"file-bytes")
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client.get_object.assert_called_once_with(
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Bucket="spelunker", Key="3/readme.md"
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)
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# boto client built with the spelunker source credentials
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_, kwargs = mock_boto_client.call_args
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self.assertEqual(kwargs["aws_access_key_id"], "spel_key")
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@@ -241,10 +241,15 @@ else:
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},
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}
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# --- Daedalus S3 (cross-bucket reads for ingest) ---
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# Mnemosyne ingests files written to Daedalus's S3 bucket. These vars
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# configure read access; the file is copied into AWS_STORAGE_BUCKET_NAME
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# (Mnemosyne's own bucket) by the Celery ingest task before processing.
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# --- Source S3 buckets (cross-bucket reads for ingest) ---
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# Mnemosyne ingests files that upstream systems write to their own S3
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# buckets. Each ingest request carries a `source` identifier; the Celery
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# ingest task looks up that source's read credentials here, fetches the
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# file, and copies it into AWS_STORAGE_BUCKET_NAME (Mnemosyne's own bucket)
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# before processing. Add a new entry per upstream source.
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#
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# Backwards compatible: the "daedalus" entry is built from the existing
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# DAEDALUS_S3_* env vars.
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DAEDALUS_S3_ENDPOINT_URL = env("DAEDALUS_S3_ENDPOINT_URL", default="")
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DAEDALUS_S3_ACCESS_KEY_ID = env("DAEDALUS_S3_ACCESS_KEY_ID", default="")
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DAEDALUS_S3_SECRET_ACCESS_KEY = env("DAEDALUS_S3_SECRET_ACCESS_KEY", default="")
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@@ -253,6 +258,38 @@ DAEDALUS_S3_REGION_NAME = env("DAEDALUS_S3_REGION_NAME", default="us-east-1")
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DAEDALUS_S3_USE_SSL = env.bool("DAEDALUS_S3_USE_SSL", default=False)
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DAEDALUS_S3_VERIFY = env.bool("DAEDALUS_S3_VERIFY", default=True)
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# Spelunker writes scraped/extracted documents to its own bucket.
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SPELUNKER_S3_ENDPOINT_URL = env("SPELUNKER_S3_ENDPOINT_URL", default="")
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SPELUNKER_S3_ACCESS_KEY_ID = env("SPELUNKER_S3_ACCESS_KEY_ID", default="")
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SPELUNKER_S3_SECRET_ACCESS_KEY = env("SPELUNKER_S3_SECRET_ACCESS_KEY", default="")
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SPELUNKER_S3_BUCKET_NAME = env("SPELUNKER_S3_BUCKET_NAME", default="spelunker")
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SPELUNKER_S3_REGION_NAME = env("SPELUNKER_S3_REGION_NAME", default="us-east-1")
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SPELUNKER_S3_USE_SSL = env.bool("SPELUNKER_S3_USE_SSL", default=False)
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SPELUNKER_S3_VERIFY = env.bool("SPELUNKER_S3_VERIFY", default=True)
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# Registry keyed by the ingest `source` field. Unknown/blank sources fall
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# back to "daedalus" for backwards compatibility.
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SOURCE_S3_BUCKETS = {
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"daedalus": {
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"endpoint_url": DAEDALUS_S3_ENDPOINT_URL,
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"access_key_id": DAEDALUS_S3_ACCESS_KEY_ID,
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"secret_access_key": DAEDALUS_S3_SECRET_ACCESS_KEY,
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"bucket_name": DAEDALUS_S3_BUCKET_NAME,
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"region_name": DAEDALUS_S3_REGION_NAME,
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"use_ssl": DAEDALUS_S3_USE_SSL,
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"verify": DAEDALUS_S3_VERIFY,
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},
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"spelunker": {
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"endpoint_url": SPELUNKER_S3_ENDPOINT_URL,
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"access_key_id": SPELUNKER_S3_ACCESS_KEY_ID,
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"secret_access_key": SPELUNKER_S3_SECRET_ACCESS_KEY,
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"bucket_name": SPELUNKER_S3_BUCKET_NAME,
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"region_name": SPELUNKER_S3_REGION_NAME,
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"use_ssl": SPELUNKER_S3_USE_SSL,
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"verify": SPELUNKER_S3_VERIFY,
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},
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}
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# --- Celery / RabbitMQ ---
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CELERY_BROKER_URL = env(
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"CELERY_BROKER_URL",
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