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d60bab3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 | import re
from typing import List, Dict, Any, Union
import ast
from langchain_core.messages import SystemMessage, HumanMessage
from .prompts import system_prompt
# ---------------------------------------------------------------------
# Core Processing Functions
# ---------------------------------------------------------------------
def _parse_citations(response: str) -> List[int]:
"""Parse citation numbers from response text"""
citation_pattern = r'\[(\d+)\]'
matches = re.findall(citation_pattern, response)
citation_numbers = sorted(list(set(int(match) for match in matches)))
return citation_numbers
def _extract_sources(processed_results: List[Dict[str, Any]], cited_numbers: List[int]) -> List[Dict[str, Any]]:
"""Extract sources that were cited in the response"""
if not cited_numbers:
return []
cited_sources = []
for citation_num in cited_numbers:
source_index = citation_num - 1
if 0 <= source_index < len(processed_results):
source = processed_results[source_index].copy() # Make copy to avoid modifying original
source['_citation_number'] = citation_num # Preserve original citation number
cited_sources.append(source)
return cited_sources
def clean_citations(response: str) -> str:
"""Normalize all citation formats to [x] and remove unwanted sections"""
# Remove References/Sources/Bibliography sections
ref_patterns = [
r'\n\s*#+\s*References?\s*:?.*$',
r'\n\s*#+\s*Sources?\s*:?.*$',
r'\n\s*#+\s*Bibliography\s*:?.*$',
r'\n\s*References?\s*:.*$',
r'\n\s*Sources?\s*:.*$',
r'\n\s*Bibliography\s*:.*$',
]
for pattern in ref_patterns:
response = re.sub(pattern, '', response, flags=re.IGNORECASE | re.DOTALL)
# Fix (Document X, Page Y, Year Z) -> [X]
response = re.sub(
r'\(Document\s+(\d+)(?:,\s*Page\s+\d+)?(?:,\s*(?:Year\s+)?\d+)?\)',
r'[\1]',
response,
flags=re.IGNORECASE
)
# Fix [Document X, Page Y, Year Z] -> [X]
response = re.sub(
r'\[Document\s+(\d+)(?:[^\]]*)\]',
r'[\1]',
response,
flags=re.IGNORECASE
)
# Fix [Document X: filename, Page Y, Year Z] -> [X]
response = re.sub(
r'\[Document\s+(\d+):[^\]]+\]',
r'[\1]',
response,
flags=re.IGNORECASE
)
# Fix [X.Y.Z] style (section numbers) -> [X]
response = re.sub(
r'\[(\d+)\.[\d\.]+\]',
r'[\1]',
response
)
# Fix (Document X) -> [X]
response = re.sub(
r'\(Document\s+(\d+)\)',
r'[\1]',
response,
flags=re.IGNORECASE
)
# Fix "Document X, Page Y, Year Z" (no brackets) -> [X]
response = re.sub(
r'Document\s+(\d+)(?:,\s*Page\s+\d+)?(?:,\s*(?:Year\s+)?\d+)?(?=\s|[,.])',
r'[\1]',
response,
flags=re.IGNORECASE
)
# Fix "Document X states/says/mentions" -> [X]
response = re.sub(
r'Document\s+(\d+)\s+(?:states|says|mentions|reports|indicates|notes|shows)',
r'[\1]',
response,
flags=re.IGNORECASE
)
# Clean up any double citations [[1]] -> [1]
response = re.sub(r'\[\[(\d+)\]\]', r'[\1]', response)
# Clean up multiple spaces
response = re.sub(r'\s+', ' ', response)
return response.strip()
def _process_context(context: Union[str, List[Dict[str, Any]]]) -> tuple[str, List[Dict[str, Any]]]:
"""Process context and return formatted context string and processed results"""
processed_results = []
if isinstance(context, list):
if not context:
raise ValueError("No retrieval results provided")
# Extract relevant fields from retrieval results
for result in context:
if isinstance(result, str):
result = ast.literal_eval(result)
metadata = result.get('answer_metadata', {})
doc_info = {
'answer': result.get('answer', ''),
'filename': metadata.get('filename', 'Unknown'),
'page': metadata.get('page', 'Unknown'),
'year': metadata.get('year', 'Unknown'),
'source': metadata.get('source', 'Unknown'),
'document_id': metadata.get('_id', 'Unknown')
}
processed_results.append(doc_info)
# Format context string - SIMPLIFIED TO ONLY USE [1], [2], [3]
context_parts = []
for i, result in enumerate(processed_results, 1):
# Simple format: [1], [2], etc.
context_parts.append(f"[{i}]\n{result['answer']}\n")
formatted_context = "\n".join(context_parts)
elif isinstance(context, str):
if not context.strip():
raise ValueError("Context cannot be empty")
formatted_context = context
else:
raise ValueError("Context must be either a string or list of retrieval results")
return formatted_context, processed_results
def _build_messages(system_prompt: str, question: str, context: str) -> list:
"""Build messages for LLM call"""
system_content = system_prompt
user_content = f"### CONTEXT\n{context}\n\n### USER QUESTION\n{question}"
return [SystemMessage(content=system_content), HumanMessage(content=user_content)]
def _create_sources_list(cited_sources: List[Dict[str, Any]]) -> List[Dict[str, str]]:
"""Create sources list for ChatUI format"""
sources = []
for result in cited_sources:
filename = result.get('filename', 'Unknown')
page = result.get('page', 'Unknown')
year = result.get('year', 'Unknown')
link = f"doc://{filename}"
title_parts = [filename]
if page != 'Unknown':
title_parts.append(f"Page {page}")
if year != 'Unknown':
title_parts.append(f"({year})")
sources.append({"link": link, "title": " - ".join(title_parts)})
return sources |