WangShen007
20fef2b9f3
One word everywhere: ReplyPier in UI copy, package and image names, the replypier.site domains (app/api/docs/help), REPLYPIER_* settings and the --rp-* design tokens. - public widget API is window.ReplyPier with replypierId / replypierBaseUrl / replypierConfig / replypierToken, loader at webclient/replypier.min.js; both bundles rebuilt from source - NOTICE, llms.txt, CONTRIBUTING, HELP_CENTER_INFRA and the demo runtime config rewritten; the demo config ships no third-party keys - migration adds the ReplyPier managed model value to the AI model enum - local compose project, database, role, volume and Docker network carry the same name
70 lines
2.2 KiB
Python
Executable File
70 lines
2.2 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Copyright 2024-2026 ReplyPier
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import os
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import sys
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import logging
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# Add the app directory to the Python path
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sys.path.insert(0, '/app')
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# Configure logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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def preload_agno_embedder():
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"""Preload the fastembed model agno embeds with"""
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try:
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from agno.embedder.fastembed import FastEmbedEmbedder
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# Get model ID from environment or use default
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model_id = os.getenv("FASTEMBED_MODEL", "BAAI/bge-small-en-v1.5")
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logger.info(f"Preloading Agno FastEmbedEmbedder: {model_id}")
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# Initialize the embedder
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embedder = FastEmbedEmbedder(id=model_id)
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# Test embedding using the correct API method
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test_text = "Test embedding for Agno embedder initialization."
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embedding = embedder.get_embedding(test_text)
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logger.info(f"Successfully preloaded Agno embedder {model_id}. Embedding dimension: {len(embedding)}")
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# Clean up
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del embedder
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del embedding
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return True
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except Exception as e:
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logger.error(f"Failed to preload Agno embedder: {str(e)}")
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return False
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def main():
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"""Warm the embedding model cache so the first request does not pay for the download"""
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logger.info("Starting model preloading process...")
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if not preload_agno_embedder():
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logger.error("Model preloading failed")
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return 1
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logger.info("All models preloaded successfully!")
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return 0
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if __name__ == "__main__":
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sys.exit(main()) |