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f89c6c9d59
### What problem does this PR solve? _Briefly describe what this PR aims to solve. Include background context that will help reviewers understand the purpose of the PR._ Issue link:#[[Link the issue here](https://github.com/infiniflow/ragflow/issues/200)] ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
69 lines
1.5 KiB
Python
69 lines
1.5 KiB
Python
import os
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import re
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import tiktoken
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def singleton(cls, *args, **kw):
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instances = {}
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def _singleton():
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key = str(cls) + str(os.getpid())
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if key not in instances:
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instances[key] = cls(*args, **kw)
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return instances[key]
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return _singleton
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from .minio_conn import MINIO
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from .es_conn import ELASTICSEARCH
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def rmSpace(txt):
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txt = re.sub(r"([^a-z0-9.,]) +([^ ])", r"\1\2", txt, flags=re.IGNORECASE)
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return re.sub(r"([^ ]) +([^a-z0-9.,])", r"\1\2", txt, flags=re.IGNORECASE)
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def findMaxDt(fnm):
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m = "1970-01-01 00:00:00"
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try:
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with open(fnm, "r") as f:
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while True:
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l = f.readline()
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if not l:
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break
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l = l.strip("\n")
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if l == 'nan':
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continue
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if l > m:
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m = l
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except Exception as e:
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pass
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return m
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def findMaxTm(fnm):
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m = 0
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try:
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with open(fnm, "r") as f:
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while True:
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l = f.readline()
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if not l:
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break
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l = l.strip("\n")
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if l == 'nan':
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continue
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if int(l) > m:
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m = int(l)
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except Exception as e:
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pass
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return m
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encoder = tiktoken.encoding_for_model("gpt-3.5-turbo")
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def num_tokens_from_string(string: str) -> int:
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"""Returns the number of tokens in a text string."""
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num_tokens = len(encoder.encode(string))
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return num_tokens
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