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feat: telegram vectorize, added field schema option for getting the latest document! #308

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merged 1 commit into from
Oct 22, 2024
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feat: telegram vectorize, added field schema option for getting the latest document! #308

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12 changes: 10 additions & 2 deletions dags/hivemind_etl_helpers/ingestion_pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -119,7 +119,11 @@ def _create_payload_index(

return operation_result

def get_latest_document_date(self, field_name: str) -> datetime | None:
def get_latest_document_date(
self,
field_name: str,
field_schema: qdrant_types.PayloadSchemaType = models.PayloadSchemaType.FLOAT,
) -> datetime | None:
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"""
get the latest date for the most recent available document

Expand All @@ -129,6 +133,10 @@ def get_latest_document_date(self, field_name: str) -> datetime | None:
------------
field_name : str
the datetime field name in qdrant points' payload
field_schema : qdrant_client.conversions.common_types.PayloadSchemaType
the date field schema
for default we're assuming it is a float timestamp
but it also could be DATETIME

Returns
---------
Expand All @@ -140,7 +148,7 @@ def get_latest_document_date(self, field_name: str) -> datetime | None:
try:
result = self._create_payload_index(
field_name=field_name,
field_schema=models.PayloadSchemaType.DATETIME,
field_schema=field_schema,
)
if result.status.name == "COMPLETED":
latest_document = self.qdrant_client.scroll(
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