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Mark indexing jobs as ee when running ee supervisord
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@ -31,6 +31,7 @@ from danswer.indexing.embedder import DefaultIndexingEmbedder
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from danswer.indexing.indexing_pipeline import build_indexing_pipeline
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from danswer.utils.logger import IndexAttemptSingleton
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from danswer.utils.logger import setup_logger
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from danswer.utils.variable_functionality import global_version
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logger = setup_logger()
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@ -303,11 +304,16 @@ def _prepare_index_attempt(db_session: Session, index_attempt_id: int) -> IndexA
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return attempt
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def run_indexing_entrypoint(index_attempt_id: int) -> None:
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def run_indexing_entrypoint(
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index_attempt_id: int, is_ee: bool = False
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) -> None:
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"""Entrypoint for indexing run when using dask distributed.
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Wraps the actual logic in a `try` block so that we can catch any exceptions
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and mark the attempt as failed."""
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try:
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if is_ee:
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global_version.set_ee()
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# set the indexing attempt ID so that all log messages from this process
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# will have it added as a prefix
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IndexAttemptSingleton.set_index_attempt_id(index_attempt_id)
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@ -38,6 +38,7 @@ from danswer.utils.logger import setup_logger
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from shared_configs.configs import INDEXING_MODEL_SERVER_HOST
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from shared_configs.configs import LOG_LEVEL
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from shared_configs.configs import MODEL_SERVER_PORT
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from danswer.utils.variable_functionality import global_version
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logger = setup_logger()
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@ -307,10 +308,18 @@ def kickoff_indexing_jobs(
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if use_secondary_index:
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run = secondary_client.submit(
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run_indexing_entrypoint, attempt.id, pure=False
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run_indexing_entrypoint,
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attempt.id,
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global_version.get_is_ee_version(),
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pure=False
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)
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else:
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run = client.submit(run_indexing_entrypoint, attempt.id, pure=False)
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run = client.submit(
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run_indexing_entrypoint,
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attempt.id,
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global_version.get_is_ee_version(),
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pure=False
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)
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if run:
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secondary_str = "(secondary index) " if use_secondary_index else ""
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@ -5,7 +5,7 @@ logfile_maxbytes=0
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[program:indexing]
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environment=CURRENT_PROCESS_IS_AN_INDEXING_JOB=true
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command=python danswer/background/update.py
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command=python ee/danswer/background/update.py
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stdout_logfile=/var/log/update.log
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stdout_logfile_maxbytes=52428800
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redirect_stderr=true
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10
backend/ee/danswer/background/update.py
Normal file
10
backend/ee/danswer/background/update.py
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@ -0,0 +1,10 @@
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from danswer.background.update import update__main
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from danswer.utils.variable_functionality import global_version
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if __name__ == "__main__":
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# mark this as the EE-enabled indexing job
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global_version.set_ee()
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# run the usual flow, any future branching will be done with a
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# call to `global_version.get_is_ee_version()`
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update__main()
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