File size: 6,400 Bytes
a54fd97
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
217
218
219
220
221
222
223
224
225
226
227
# pyright: reportMissingImports=false, reportUnknownVariableType=false, reportUntypedBaseClass=false, reportUnknownMemberType=false, reportGeneralTypeIssues=false, reportAssignmentType=false
from __future__ import annotations

import uuid
from datetime import datetime
from enum import Enum
from typing import Optional

from pydantic import BaseModel, Field

try:
    from models.memory_entry import MemoryEntry
except Exception:

    class MemoryEntry(BaseModel):
        """Fallback MemoryEntry definition for type checking and tooling."""

        entry_id: str
        lossless_restatement: str
        keywords: list[str]
        timestamp: Optional[str]
        location: Optional[str]
        persons: list[str]
        entities: list[str]
        topic: Optional[str]


class SessionStatus(str, Enum):
    """Lifecycle status for a memory session record."""

    active = "active"
    completed = "completed"
    failed = "failed"


class EventKind(str, Enum):
    """Kinds of events captured during a session."""

    message = "message"
    tool_use = "tool_use"
    file_change = "file_change"
    note = "note"
    system = "system"


class ObservationType(str, Enum):
    """Semantic observation categories extracted from sessions."""

    decision = "decision"
    bugfix = "bugfix"
    feature = "feature"
    refactor = "refactor"
    discovery = "discovery"
    change = "change"


class RedactionLevel(str, Enum):
    """Redaction levels for event payloads."""

    none = "none"
    partial = "partial"
    full = "full"


class SessionRecord(BaseModel):
    """Represents a conversation session persisted in SQLite."""

    id: Optional[int] = None
    tenant_id: str = "default"
    content_session_id: str
    memory_session_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
    project: str
    user_prompt: Optional[str] = None
    started_at: datetime
    ended_at: Optional[datetime] = None
    status: SessionStatus
    metadata_json: Optional[str] = None


class SessionEvent(BaseModel):
    """Represents a single event during a session timeline."""

    event_id: Optional[int] = None
    memory_session_id: str
    timestamp: datetime
    kind: EventKind
    title: Optional[str] = None
    payload_json: Optional[str] = None
    redaction_level: RedactionLevel = RedactionLevel.none


class CrossObservation(BaseModel):
    """An observation extracted from a session for cross-session memory."""

    obs_id: Optional[int] = None
    memory_session_id: str
    timestamp: datetime
    type: ObservationType
    title: str
    subtitle: Optional[str] = None
    facts_json: Optional[str] = None
    narrative: Optional[str] = None
    concepts_json: Optional[str] = None
    files_json: Optional[str] = None
    vector_ref: Optional[str] = None


class SessionSummary(BaseModel):
    """Summary generated when a session ends."""

    summary_id: Optional[int] = None
    memory_session_id: str
    timestamp: datetime
    request: Optional[str] = None
    investigated: Optional[str] = None
    learned: Optional[str] = None
    completed: Optional[str] = None
    next_steps: Optional[str] = None
    vector_ref: Optional[str] = None


class MemoryLink(BaseModel):
    """Traceability mapping from vectors back to source evidence."""

    link_id: Optional[int] = None
    memory_entry_id: str
    source_kind: str
    source_id: int
    score: float
    timestamp: datetime


class CrossMemoryEntry(MemoryEntry):
    """Memory entry with cross-session provenance fields."""

    tenant_id: str
    memory_session_id: str
    source_kind: str
    source_id: Optional[int] = None
    importance: float = Field(0.5, ge=0.0, le=1.0)
    valid_from: Optional[datetime] = None
    valid_to: Optional[datetime] = None
    superseded_by: Optional[str] = None


class ContextBundle(BaseModel):
    """Payload injected at session start with relevant cross-session context."""

    session_summaries: list[SessionSummary] = Field(default_factory=list)
    timeline_observations: list[CrossObservation] = Field(default_factory=list)
    memory_entries: list[CrossMemoryEntry] = Field(default_factory=list)
    total_tokens_estimate: int = 0

    def render(self, max_tokens: int, style: str = "summary") -> str:
        """Render the bundle into a string capped by a token estimate."""

        def estimate_tokens(text: str) -> int:
            return len(text.split())

        lines: list[str] = []
        token_count = 0

        def try_add(line: str) -> None:
            nonlocal token_count
            if not line:
                return
            next_tokens = estimate_tokens(line)
            if token_count + next_tokens > max_tokens:
                return
            lines.append(line)
            token_count += next_tokens

        if self.session_summaries:
            try_add("Session summaries:")
            for summary in self.session_summaries:
                text = (
                    summary.completed
                    or summary.learned
                    or summary.investigated
                    or summary.request
                    or "Summary available."
                )
                try_add(f"- {text}")

        if self.timeline_observations:
            try_add("Timeline observations:")
            for observation in self.timeline_observations:
                detail = observation.subtitle or observation.narrative or ""
                line = f"- {observation.title}"
                if detail:
                    line = f"{line}: {detail}"
                try_add(line)

        if self.memory_entries:
            try_add("Memory entries:")
            for entry in self.memory_entries:
                line = f"- {entry.lossless_restatement}"
                try_add(line)

        if not lines:
            return ""

        if style == "summary":
            return "\n".join(lines)

        return "\n".join(lines)


class FinalizationReport(BaseModel):
    """Report returned when a session finishes."""

    memory_session_id: str
    observations_count: int
    summary_generated: bool
    entries_stored: int
    consolidation_triggered: bool


class ConsolidationRun(BaseModel):
    """Record of a consolidation run and its policy/statistics."""

    run_id: Optional[int] = None
    tenant_id: str
    timestamp: datetime
    policy_json: Optional[str] = None
    stats_json: Optional[str] = None