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[BUG] ValueError: Expected metadatas to be a list, got ({'url': 'local'},)
File "/usr/local/lib/python3.8/site-packages/embedchain/embedchain.py", line 94, in add
:param url: The URL where the data is located.
"""
loader = self._get_loader(data_type)
chunker = self._get_chunker(data_type)
self.user_asks.append([data_type, url])
self.load_and_embed(loader, chunker, url)
def add_local(self, data_type, content):
"""
Adds the data you supply to the vector db.
Loads the data, chunks it, create embedding for each chunk
File "/usr/local/lib/python3.8/site-packages/embedchain/embedchain.py", line 140, in load_and_embed
return
ids = list(data_dict.keys())
documents, metadatas = zip(*data_dict.values())
self.collection.add(
documents=documents,
metadatas=metadatas,
ids=ids
)
print(f"Successfully saved {url}. Total chunks count: {self.collection.count()}")
File "/usr/local/lib/python3.8/site-packages/chromadb/api/models/Collection.py", line 96, in add
ValueError: If you provide both embeddings and documents
ValueError: If you provide an id that already exists
"""
ids, embeddings, metadatas, documents = self._validate_embedding_set(
ids, embeddings, metadatas, documents
)
self._client._add(
ids, self.id, embeddings, metadatas, documents, increment_index
File "/usr/local/lib/python3.8/site-packages/chromadb/api/models/Collection.py", line 354, in _validate_embedding_set
validate_embeddings(maybe_cast_one_to_many(embeddings))
if embeddings is not None
else None
)
metadatas = (
validate_metadatas(maybe_cast_one_to_many(metadatas))
if metadatas is not None
else None
)
documents = maybe_cast_one_to_many(documents) if documents is not None else None
File "/usr/local/lib/python3.8/site-packages/chromadb/api/types.py", line 140, in validate_metadatas
def validate_metadatas(metadatas: Metadatas) -> Metadatas:
"""Validates metadatas to ensure it is a list of dictionaries of strings to strings, ints, or floats"""
if not isinstance(metadatas, list):
raise ValueError(f"Expected metadatas to be a list, got {metadatas}")
for metadata in metadatas:
validate_metadata(metadata)
return metadatas
