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
