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from haystack.schema import Document | |
import uuid | |
def format_docs(documents): | |
"""Given a list of documents, format the documents and return the documents and doc ids.""" | |
db_docs: list = [] | |
for doc in documents: | |
doc_id = doc["id"] if doc["id"] is not None else str(uuid.uuid4()) | |
db_doc = { | |
"content": doc["text"], | |
"content_type": "text", | |
"id": str(uuid.uuid4()), | |
"meta": {"id": doc_id}, | |
} | |
db_docs.append(Document(**db_doc)) | |
return db_docs, [doc.meta["id"] for doc in db_docs] | |
def index(documents, pipeline): | |
documents, doc_ids = format_docs(documents) | |
pipeline.run(documents=documents) | |
return doc_ids | |
def search(queries, pipeline): | |
results = [] | |
matches_queries = pipeline.run_batch(queries=queries) | |
for matches in matches_queries["documents"]: | |
query_results = [] | |
score_is_empty = False | |
for res in matches: | |
if not score_is_empty: | |
score_is_empty = True if res.score is None else False | |
match = { | |
"text": res.content, | |
"id": res.meta["id"], | |
"fragment_id": res.id, | |
} | |
if not score_is_empty: | |
match.update({"score": res.score}) | |
if hasattr(res, "content_audio"): | |
match.update({"content_audio": res.content_audio}) | |
query_results.append(match) | |
if not score_is_empty: | |
query_results = sorted( | |
query_results, key=lambda x: x["score"], reverse=True | |
) | |
results.append(query_results) | |
return results | |