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feea636 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 | from neo4j import GraphDatabase
from typing import Dict, List
from urllib.parse import urlparse
from config.settings import settings
class Neo4jStorage:
def __init__(self):
self.driver = GraphDatabase.driver(
settings.database.neo4j_uri,
auth=(settings.database.neo4j_user, settings.database.neo4j_password)
)
self._create_constraints()
def _create_constraints(self):
"""Create constraints and indexes for better performance"""
with self.driver.session() as session:
try:
session.run("CREATE CONSTRAINT page_url IF NOT EXISTS FOR (p:Page) REQUIRE p.url IS UNIQUE")
session.run("CREATE CONSTRAINT domain_name IF NOT EXISTS FOR (d:Domain) REQUIRE d.name IS UNIQUE")
session.run("CREATE INDEX page_title IF NOT EXISTS FOR (p:Page) ON (p.title)")
except Exception as e:
pass # Constraints might already exist
def store_relationships(self, url: str, extracted_data: Dict, dom_structure: Dict):
"""Store page relationships and structure in Neo4j"""
with self.driver.session() as session:
# Create main page node
self._create_page_node(session, url, extracted_data)
# Create domain relationships
self._create_domain_relationships(session, url, extracted_data)
# Create content relationships
self._create_content_relationships(session, url, extracted_data)
# Create link relationships
self._create_link_relationships(session, url, extracted_data["links"])
# Create DOM structure relationships
self._create_dom_relationships(session, url, dom_structure)
def _create_page_node(self, session, url: str, data: Dict):
"""Create or update page node with LLM-friendly properties"""
query = """
MERGE (p:Page {url: $url})
SET p.title = $title,
p.description = $description,
p.domain = $domain,
p.content_type = $content_type,
p.complexity_score = $complexity_score,
p.reading_time = $reading_time,
p.word_count = $word_count,
p.last_scraped = datetime()
"""
session.run(query, {
"url": url,
"title": data["metadata"]["title"],
"description": data["metadata"]["description"],
"domain": data["metadata"]["domain"],
"content_type": self._identify_content_type(data),
"complexity_score": self._calculate_complexity_score(data),
"reading_time": len(data["text_summary"].split()) // 250,
"word_count": len(data["text_summary"].split())
})
def _create_domain_relationships(self, session, url: str, data: Dict):
"""Create domain nodes and relationships"""
domain = data["metadata"]["domain"]
# Create domain node
session.run("""
MERGE (d:Domain {name: $domain})
SET d.last_updated = datetime()
""", {"domain": domain})
# Link page to domain
session.run("""
MATCH (p:Page {url: $url})
MATCH (d:Domain {name: $domain})
MERGE (p)-[:BELONGS_TO]->(d)
""", {"url": url, "domain": domain})
def _create_content_relationships(self, session, url: str, data: Dict):
"""Create content structure relationships for LLM understanding"""
# Create topic nodes from headings
for i, heading in enumerate(data["metadata"]["headings"]):
session.run("""
MATCH (p:Page {url: $url})
MERGE (h:Heading {text: $text, level: $level, page_url: $url})
SET h.position = $position
MERGE (p)-[:HAS_HEADING]->(h)
""", {
"url": url,
"text": heading["text"],
"level": heading["level"],
"position": i
})
# Create content block relationships
for i, block in enumerate(data["content"][:10]): # Limit for performance
session.run("""
MATCH (p:Page {url: $url})
MERGE (c:ContentBlock {text: $text, page_url: $url, position: $position})
SET c.tag = $tag,
c.length = $length
MERGE (p)-[:HAS_CONTENT]->(c)
""", {
"url": url,
"text": block["text"][:500], # Truncate for storage
"tag": block["tag"],
"length": len(block["text"]),
"position": i
})
def _create_link_relationships(self, session, url: str, links: List[Dict]):
"""Create link relationships for navigation understanding"""
for link in links[:20]: # Limit for performance
target_url = link["url"]
link_text = link["text"]
is_internal = link["internal"]
# Create target page node (minimal)
session.run("""
MERGE (target:Page {url: $target_url})
SET target.discovered_via = $source_url
""", {"target_url": target_url, "source_url": url})
# Create relationship
relationship_type = "LINKS_TO_INTERNAL" if is_internal else "LINKS_TO_EXTERNAL"
session.run(f"""
MATCH (source:Page {{url: $source_url}})
MATCH (target:Page {{url: $target_url}})
MERGE (source)-[r:{relationship_type}]->(target)
SET r.link_text = $link_text,
r.is_internal = $is_internal
""", {
"source_url": url,
"target_url": target_url,
"link_text": link_text,
"is_internal": is_internal
})
def _create_dom_relationships(self, session, url: str, dom_structure: Dict):
"""Create DOM structure relationships for content hierarchy"""
# Create semantic structure nodes
semantic_elements = dom_structure["semantic_structure"]["semantic_elements"]
for tag, count in semantic_elements.items():
if count > 0:
session.run("""
MATCH (p:Page {url: $url})
MERGE (s:SemanticElement {tag: $tag, page_url: $url})
SET s.count = $count
MERGE (p)-[:HAS_SEMANTIC_ELEMENT]->(s)
""", {"url": url, "tag": tag, "count": count})
def get_page_relationships(self, url: str) -> Dict:
"""Get all relationships for a page for LLM context"""
with self.driver.session() as session:
result = session.run("""
MATCH (p:Page {url: $url})
OPTIONAL MATCH (p)-[:LINKS_TO_INTERNAL]->(internal:Page)
OPTIONAL MATCH (p)-[:LINKS_TO_EXTERNAL]->(external:Page)
OPTIONAL MATCH (p)-[:HAS_HEADING]->(h:Heading)
RETURN p, collect(DISTINCT internal.url) as internal_links,
collect(DISTINCT external.url) as external_links,
collect(DISTINCT {text: h.text, level: h.level}) as headings
""", {"url": url})
record = result.single()
if record:
return {
"page": dict(record["p"]),
"internal_links": record["internal_links"],
"external_links": record["external_links"],
"headings": record["headings"]
}
return {}
def get_related_pages(self, url: str, limit: int = 5) -> List[Dict]:
"""Find related pages for LLM context and study suggestions"""
with self.driver.session() as session:
result = session.run("""
MATCH (p:Page {url: $url})
MATCH (p)-[:BELONGS_TO]->(d:Domain)
MATCH (related:Page)-[:BELONGS_TO]->(d)
WHERE related.url <> $url
RETURN related.url as url, related.title as title,
related.content_type as content_type,
related.complexity_score as complexity_score
ORDER BY related.complexity_score DESC
LIMIT $limit
""", {"url": url, "limit": limit})
return [dict(record) for record in result]
def _identify_content_type(self, data: Dict) -> str:
"""Identify content type for graph relationships"""
title = data["metadata"]["title"].lower()
if "tutorial" in title or "guide" in title:
return "tutorial"
elif "documentation" in title or "docs" in title:
return "documentation"
elif "blog" in title or "article" in title:
return "article"
return "general"
def _calculate_complexity_score(self, data: Dict) -> float:
"""Calculate complexity score for relationship weighting"""
text_length = len(data["text_summary"])
content_blocks = len(data["content"])
return min(text_length / 1000 + content_blocks / 10, 10.0)
def close(self):
"""Close database connection"""
self.driver.close() |