Research-Stack/0-Core-Formalism/lean/Semantics/Semantics/ChatLogConversion.lean

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import Std
import Semantics.FixedPoint
import Semantics.Substrate
namespace ChatLogConversion
/-- Chat message structure for parsing conversation logs -/
structure ChatMessage where
role : String -- "user" or "assistant"
content : String
timestamp : Option String
deriving Repr
/-- Conversation structure containing multiple messages -/
structure Conversation where
messages : List ChatMessage
sourceFile : String
extractedAt : String
deriving Repr
/-- ENE Schema: ConceptVector14 - 14-dimensional semantic vector -/
structure ConceptVector14 where
values : Array Float
deriving Repr
/-- ENE Schema: BaseArchiveRecord - Lossless preservation layer -/
structure BaseArchiveRecord where
archiveId : String
sourceType : String
sourceFile : String
rawContent : String
extractedText : String
extractedAt : String
contentHash : String
extractionVersion : String
deriving Repr
/-- ENE Schema: EnhancedArchiveRecord - Semantic enrichment layer -/
structure EnhancedArchiveRecord where
base : BaseArchiveRecord
conceptVector : ConceptVector14
phraseVector : Array (String × Float)
entities : Array String
topicClusters : Array String
linkCount : UInt32
deriving Repr
/-- Chat log bind: Parse and convert chat logs to ENE format -/
structure ChatLogBind where
lawful : Bool
cost : UInt32
invariant : String
result : Option EnhancedArchiveRecord
deriving Repr
/-- Parse markdown chat log into Conversation structure -/
def parseMarkdownChatLog (content : String) (sourceFile : String) : Conversation := Id.run do
let lines := content.splitOn "\n"
let timestamp := "2026-04-14T00:00:00Z" -- Placeholder timestamp
let messages : List ChatMessage := []
{ messages := messages, sourceFile := sourceFile, extractedAt := timestamp }
/-- Compute SHA256 hash of content -/
def computeSHA256 (content : String) : String :=
-- Placeholder: actual SHA256 computation to be implemented
"placeholder_hash_64_chars______________________________________________________"
/-- Extract text from conversation for indexing -/
def extractText (conv : Conversation) : String :=
List.foldl (fun acc msg => acc ++ "\n" ++ msg.content) "" conv.messages
/-- Compute concept vector from conversation content -/
def computeConceptVector (content : String) : ConceptVector14 :=
-- Placeholder: 14-dimensional vector computation
-- Axes: substrate, compression, topology, hardware, time, crypto, database, semantic, physics, security, os_vm, research, omnitoken, identity
{ values := #[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }
/-- Extract entities from conversation -/
def extractEntities (content : String) : Array String :=
#["placeholder_entity"]
/-- Classify topic clusters -/
def classifyTopics (content : String) : Array String :=
#["placeholder_topic"]
/-- Generate archive ID per ENE schema §2.1.1 -/
def generateArchiveId (sourceType : String) (contentHash : String) : String :=
sourceType ++ "_" ++ contentHash.take 16
/-- Main chat log conversion bind -/
def chatLogConversionBind (content : String) (sourceFile : String) : ChatLogBind :=
let conv := parseMarkdownChatLog content sourceFile
let extractedText := extractText conv
let contentHash := computeSHA256 content
let archiveId := generateArchiveId "chatgpt" contentHash
let timestamp := conv.extractedAt
let baseRecord : BaseArchiveRecord := {
archiveId := archiveId,
sourceType := "chatgpt",
sourceFile := sourceFile,
rawContent := content,
extractedText := extractedText,
extractedAt := timestamp,
contentHash := contentHash,
extractionVersion := "ene_complete_extract_v1"
}
let conceptVector := computeConceptVector extractedText
let phraseVector := #[("placeholder_phrase", 0.5)]
let entities := extractEntities extractedText
let topicClusters := classifyTopics extractedText
let enhancedRecord : EnhancedArchiveRecord := {
base := baseRecord,
conceptVector := conceptVector,
phraseVector := phraseVector,
entities := entities,
topicClusters := topicClusters,
linkCount := 0
}
{
lawful := true,
cost := 0x00001000,
invariant := "Chat log preserves original content structure",
result := some enhancedRecord
}
-- #eval example: Basic chat log conversion
-- #eval chatLogConversionBind "test conversation" "test.md"
end ChatLogConversion