Change TEMPEST_TEST_PATTERN and allow record_id based on record field combination

data_scraper/core/ci_logs_scraper.py

@@ -14,7 +14,7 @@
 class CILogsRecord(TypedDict):
     """CILogs data point."""
     url: str
-    topic: str
+    test_name: str
     text: str
     components: list[str]
     kind: str
@@ -37,7 +37,7 @@ def get_records(self, documents: list[dict]) -> list[CILogsRecord]:
         for document in documents:
             ci_logs_records.append({
                 "url": document["url"],
-                "topic": document["test_name"],
+                "test_name": document["test_name"],
                 "text": document["traceback"],
                 "components": [],
                 "kind": "zuul_jobs",

data_scraper/core/scraper.py

@@ -92,7 +92,10 @@ def record_postprocessing(self, record: dict) -> None:
         after it has been created but before storing in vectorDB."""
         raise NotImplementedError
 
-    def store_records(self, records: list, recreate: bool = True) -> None:
+    def store_records(self,
+                      records: list,
+                      record_fields_for_key: tuple[str, ...],
+                      recreate: bool = True) -> None:
         """Process text and store embeddings in database."""
         vector_size = self.get_embedding_dimension()
 
@@ -107,12 +110,17 @@ def store_records(self, records: list, recreate: bool = True) -> None:
             raise IOError
 
         for record in tqdm(records, desc="Processing embeddings"):
-            if record['url']:
-                record_id = str(uuid.uuid5(uuid.NAMESPACE_URL, record["url"]))
-            else:
-                LOG.error("Missing required URL field")
+            missing_fields = [
+                field for field in record_fields_for_key
+                if field not in record or not record[field]
+            ]
+            if missing_fields:
+                LOG.error("Missing required fields for key generation: %s", missing_fields)
                 continue
 
+            combined_key = "_".join([record[field] for field in record_fields_for_key])
+            record_id = str(uuid.uuid5(uuid.NAMESPACE_URL, combined_key))
+
             chunks: list[str] = self.get_chunks(record)
 
             embeddings: list[list[float]] = []
@@ -148,7 +156,7 @@ def get_records(self, documents: List[Dict]) -> list[dict]:
         """Convert raw data into list of dictionaries."""
         raise NotImplementedError
 
-    def run(self):
+    def run(self, record_fields_for_key: tuple[str,...] = ("url",)):
         """Main execution method."""
         documents = self.get_documents()
         if not documents:
@@ -159,7 +167,7 @@ def run(self):
         records = self.cleanup_records(records)
 
         # Process and store embeddings
-        self.store_records(records, self.config["recreate_collection"])
+        self.store_records(records, record_fields_for_key, self.config["recreate_collection"])
 
         # Print final stats
         stats = self.db_manager.get_collection_stats(self.config["db_collection_name"])

data_scraper/main.py

@@ -248,7 +248,7 @@ def ci_logs_scraper() -> None:
 
     # when json is ready, proceed with tracebacks and store them to QdrantDB
     scraper = CILogsScraper(config_args)
-    scraper.run()
+    scraper.run(("url", "test_name"))
 
 
 def solutions_scraper() -> None:

data_scraper/processors/ci_logs_provider.py

@@ -36,8 +36,8 @@
 
 # Test path constants
 TEST_OPERATOR_PATH = "logs/controller-0/ci-framework-data/tests/test_operator"
-TEMPEST_TEST_PATTERN = "tempest-tests"
-TOBIKO_TEST_PATTERN = "tobiko-tests"
+TEMPEST_TEST_PATTERN = "tempest-"
+TOBIKO_TEST_PATTERN = "tobiko-"
 
 async def fetch_with_gssapi(url, params=None, timeout=30.0):
     """