Feature/pinecone integration (#170)

* Added Pinecone for GE write & query

* Add templates

* Doc embedding support

trustgraph-flow/trustgraph/storage/doc_embeddings/pinecone/write.py

@@ -0,0 +1,167 @@
+
+"""
+Accepts entity/vector pairs and writes them to a Qdrant store.
+"""
+
+from qdrant_client import QdrantClient
+from qdrant_client.models import PointStruct
+from qdrant_client.models import Distance, VectorParams
+
+import time
+import uuid
+import os
+
+from .... schema import ChunkEmbeddings
+from .... schema import chunk_embeddings_ingest_queue
+from .... log_level import LogLevel
+from .... base import Consumer
+
+module = ".".join(__name__.split(".")[1:-1])
+
+default_input_queue = chunk_embeddings_ingest_queue
+default_subscriber = module
+default_api_key = os.getenv("PINECONE_API_KEY", "not-specified")
+default_cloud = "aws"
+default_region = "us-east-1"
+
+class Processor(Consumer):
+
+    def __init__(self, **params):
+
+        input_queue = params.get("input_queue", default_input_queue)
+        subscriber = params.get("subscriber", default_subscriber)
+
+        self.url = params.get("url", None)
+        self.cloud = params.get("cloud", default_cloud)
+        self.region = params.get("region", default_region)
+        self.api_key = params.get("api_key", default_api_key)
+
+        if self.api_key is None:
+            raise RuntimeError("Pinecone API key must be specified")
+
+        if self.url:
+
+            self.pinecone = PineconeGRPC(
+                api_key = self.api_key,
+                host = self.url
+            )
+
+        else:
+
+            self.pinecone = Pinecone(api_key = self.api_key)
+
+        super(Processor, self).__init__(
+            **params | {
+                "input_queue": input_queue,
+                "subscriber": subscriber,
+                "input_schema": ChunkEmbeddings,
+                "url": self.url,
+            }
+        )
+
+        self.last_index_name = None
+
+    def handle(self, msg):
+
+        v = msg.value()
+
+        chunk = v.chunk.decode("utf-8")
+
+        if chunk == "": return
+
+        for vec in v.vectors:
+
+            dim = len(vec)
+            collection = (
+                "d-" + v.metadata.user + "-" + str(dim)
+            )
+
+            if index_name != self.last_index_name:
+
+                if not self.pinecone.has_index(index_name):
+
+                    try:
+
+                        self.pinecone.create_index(
+                            name = index_name,
+                            dimension = dim,
+                            metric = "cosine",
+                            spec = ServerlessSpec(
+                                cloud = self.cloud,
+                                region = self.region,
+                            )
+                        )
+
+                        for i in range(0, 1000):
+
+                            if self.pinecone.describe_index(
+                                    index_name
+                            ).status["ready"]:
+                                break
+
+                            time.sleep(1)
+
+                        if not self.pinecone.describe_index(
+                                index_name
+                        ).status["ready"]:
+                            raise RuntimeError(
+                                "Gave up waiting for index creation"
+                            )
+
+                    except Exception as e:
+                        print("Pinecone index creation failed")
+                        raise e
+
+                    print(f"Index {index_name} created", flush=True)
+
+                self.last_index_name = index_name
+
+            index = self.pinecone.Index(index_name)
+
+            records = [
+                {
+                    "id": id,
+                    "values": vec,
+                    "metadata": { "doc": chunk },
+                }
+            ]
+
+            index.upsert(
+                vectors = records,
+                namespace = v.metadata.collection,
+            )
+
+    @staticmethod
+    def add_args(parser):
+
+        Consumer.add_args(
+            parser, default_input_queue, default_subscriber,
+        )
+
+        parser.add_argument(
+            '-a', '--api-key',
+            default=default_api_key,
+            help='Pinecone API key. (default from PINECONE_API_KEY)'
+        )
+
+        parser.add_argument(
+            '-u', '--url',
+            help='Pinecone URL.  If unspecified, serverless is used'
+        )
+
+        parser.add_argument(
+            '--cloud',
+            default=default_cloud,
+            help=f'Pinecone cloud, (default: {default_cloud}'
+        )
+
+        parser.add_argument(
+            '--region',
+            default=default_region,
+            help=f'Pinecone region, (default: {default_region}'
+        )
+
+def run():
+
+    Processor.start(module, __doc__)
+