Upload postprocess_jsonl_latest.py
Browse files- postprocess_jsonl_latest.py +29 -126
postprocess_jsonl_latest.py
CHANGED
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@@ -26,144 +26,47 @@ from sentence_transformers import SentenceTransformer
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import torch
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# --- IPFS CID Generation Code (from provided ipfs_multiformats.py) ---
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import hashlib
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from multiformats import CID, multihash
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import tempfile
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import sys
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class ipfs_multiformats_py:
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def __init__(self, resources
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self.multihash = multihash
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# Added error handling for multihash version/import
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if not hasattr(self.multihash, 'wrap') or not hasattr(self.multihash, 'decode'):
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logging.warning("Multihash library structure might have changed. CID generation may fail.")
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return None
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def get_file_sha256(self, file_path):
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hasher = hashlib.sha256()
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hasher.update(chunk)
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return hasher.digest()
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except Exception as e:
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logging.error(f"Error hashing file {file_path}: {e}")
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return None
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# Takes bytes input directly
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def get_bytes_sha256(self, data_bytes: bytes):
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hasher = hashlib.sha256()
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hasher.update(data_bytes)
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return hasher.digest()
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return mh
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except Exception as e:
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logging.error(f"Error wrapping hash in multihash: {e}")
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return None
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def get_cid_old(self, data):
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"""Generates CID v1 base32 for bytes data or file path."""
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mh = None
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try:
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if isinstance(data, (str, Path)) and os.path.isfile(data):
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# logging.debug(f"Calculating CID for file: {data}")
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file_content_hash = self.get_file_sha256(data)
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mh = self.get_multihash_sha256(file_content_hash)
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mh = self.get_multihash_sha256(bytes_hash)
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elif isinstance(data, str):
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# logging.debug(f"Calculating CID for string (length: {len(data)})")
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# Treat string as UTF-8 bytes
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bytes_hash = self.get_bytes_sha256(data.encode('utf-8'))
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mh = self.get_multihash_sha256(bytes_hash)
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else:
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logging.warning(f"Unsupported data type for CID generation: {type(data)}. Skipping CID.")
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return None
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if mh:
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# CIDv1, base32, raw codec (0x55)
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cid = CID(base='base32', version=1, codec='raw', multihash=mh)
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return str(cid)
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else:
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return None
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except Exception as e:
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logging.error(f"Error generating CID: {e}", exc_info=False)
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return None
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def get_cid(self, data):
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"""Generates CID v1 base32 for bytes data or file path."""
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try:
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# Get the hash first
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content_hash = None
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if isinstance(data, (str, Path)) and os.path.isfile(data):
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content_hash = self.get_file_sha256(data)
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elif isinstance(data, bytes):
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content_hash = self.get_bytes_sha256(data)
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elif isinstance(data, str):
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content_hash = self.get_bytes_sha256(data.encode('utf-8'))
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else:
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logging.warning(f"Unsupported data type for CID generation: {type(data)}. Skipping CID.")
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return None
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if not content_hash:
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return None
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# Try the new CID API format
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try:
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# Version 1 of multiformats may use from_digest or other method instead of passing multihash directly
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from multiformats import multihash
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digest = multihash.digest(content_hash, 'sha2-256')
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cid = CID.from_digest(digest, 'raw') # Try this format first
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return str(cid)
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except (AttributeError, TypeError):
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try:
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# Try alternate creation method
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mh = self.get_multihash_sha256(content_hash)
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cid = CID(version=1, codec='raw', hash=mh) # Try with hash parameter
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return str(cid)
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except:
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# Fallback to simple base64 encoding if CID creation fails
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import base64
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b64_hash = base64.b64encode(content_hash).decode('ascii')
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return f"sha256:{b64_hash}"
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except Exception as e:
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logging.error(f"Error generating CID: {e}", exc_info=False)
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# Fallback to a simple hash representation
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try:
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if isinstance(data, (str, Path)) and os.path.isfile(data):
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content_hash = self.get_file_sha256(data)
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elif isinstance(data, bytes):
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content_hash = self.get_bytes_sha256(data)
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elif isinstance(data, str):
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content_hash = self.get_bytes_sha256(data.encode('utf-8'))
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else:
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return None
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import base64
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return f"sha256:{base64.b64encode(content_hash).decode('ascii')}"
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except:
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return None
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# --- End IPFS CID Code ---
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@@ -1049,7 +952,7 @@ def create_embedding_dataset(
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logging.info(f"Using CPU (no GPU acceleration available)")
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model = SentenceTransformer(embedding_model_name, device=device)
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cid_generator = ipfs_multiformats_py() # Initialize CID generator
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logging.info("Embedding model & CID generator loaded.")
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except Exception as e:
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logging.error(f"Failed to load embedding model or init CID generator: {e}", exc_info=True)
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import torch
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# --- IPFS CID Generation Code (from provided ipfs_multiformats.py) ---
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# https://github.com/endomorphosis/ipfs_accelerate_py/blob/5f88e36551b626e99b05bd4bd8a3e043c5c0e8c9/ipfs_accelerate_py/ipfs_multiformats.py#L25
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import hashlib
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from multiformats import CID, multihash
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import tempfile
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import os
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import sys
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class ipfs_multiformats_py:
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def __init__(self, resources, metadata):
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self.multihash = multihash
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return None
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# Step 1: Hash the file content with SHA-256
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def get_file_sha256(self, file_path):
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hasher = hashlib.sha256()
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with open(file_path, 'rb') as f:
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while chunk := f.read(8192):
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hasher.update(chunk)
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return hasher.digest()
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# Step 2: Wrap the hash in Multihash format
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def get_multihash_sha256(self, file_content_hash):
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mh = self.multihash.wrap(file_content_hash, 'sha2-256')
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return mh
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# Step 3: Generate CID from Multihash (CIDv1)
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def get_cid(self, file_data):
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if os.path.isfile(file_data) == True:
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absolute_path = os.path.abspath(file_data)
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file_content_hash = self.get_file_sha256(file_data)
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mh = self.get_multihash_sha256(file_content_hash)
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cid = CID('base32', 'raw', mh)
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else:
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with tempfile.NamedTemporaryFile(mode='w', delete=False) as f:
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filename = f.name
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with open(filename, 'w') as f_new:
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f_new.write(file_data)
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file_content_hash = self.get_file_sha256(filename)
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mh = self.get_multihash_sha256(file_content_hash)
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cid = CID('base32', 1, 'raw', mh)
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os.remove(filename)
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return str(cid)
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# --- End IPFS CID Code ---
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logging.info(f"Using CPU (no GPU acceleration available)")
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model = SentenceTransformer(embedding_model_name, device=device)
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cid_generator = ipfs_multiformats_py(resources=None, metadata=None) # Initialize CID generator
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logging.info("Embedding model & CID generator loaded.")
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except Exception as e:
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logging.error(f"Failed to load embedding model or init CID generator: {e}", exc_info=True)
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