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@@ -1,126 +0,0 @@
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# Username OSINT Operator Policy
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**Effective**: 2026-04-26
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**Applies to**: Username enumeration results produced by `maigret` / `socialscan` / `sherlock`
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**Exempt**: Manual human social-engineering (this policy covers automated tool output only)
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**Related**: timmy-home#875, `research/username-osint/decision-memo.md`
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---
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## 1. Purpose
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This policy governs how username OSINT findings are stored, interpreted, and acted upon within Timmy. It exists to prevent:
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- Treating heuristic matches as identity proof
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- Accumulating stale or misattributed data in durable storage
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- Acting on findings without human review and source validation
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---
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## 2. Scope
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This policy applies when any of the following tools are invoked:
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- `maigret` (primary)
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- `socialscan` (secondary)
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- `sherlock` (archived/reference-only)
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Tools may be invoked:
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- via `hermes` session with explicit instruction
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- via standalone script in `scripts/username-osint/`
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- via ad-hoc terminal command (operator discretion)
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---
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## 3. Storage boundaries
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### 3.1 File locations
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- **Research packets** (bounded study artifacts) → `research/username-osint/`
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- **Single-use findings** (ad-hoc runs not tied to a study) → `/tmp/` (ephemeral)
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- **Canonical knowledge** (vetted, review-approved) → `knowledge/username-handles/` (if such a directory exists; otherwise never write to durable knowledge store)
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### 3.2 Naming & provenance envelope
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Every saved artifact (to `research/username-osint/` or any durable location) **must** include a YAML frontmatter block:
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```yaml
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---
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date: YYYY-MM-DD
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tool: maigret|socialscan|sherlock # exact command line used
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tool_version: <pip show version output>
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username_pattern: <pattern or list used; e.g. "alice,bob,charlie" or "@corp-employees.txt">
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sample_platforms: [github,twitter,instagram,reddit] # or "full-site-list"
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status: draft|review|approved|rejected
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reviewer: <hermes username or empty if unreviewed>
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provenance_notes: |
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Free-text notes about rate limits, VPN usage, time-of-day, or other context
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that affects reproducibility.
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---
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```
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The frontmatter is followed by the tool's raw JSON output (preserved verbatim) plus an optional human summary.
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---
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## 4. Invocation rules
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| Invocation type | Allowed | Conditions |
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|---|---|---|
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| **Explicit Hermes command** | ✅ | User must name the tool and sample set explicitly in the session |
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| **Automated pipeline** | ⚠️ | Must include `--json` flag and write to `research/username-osint/` with provenance frontmatter |
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| **Blind/autonomous discovery** | ❌ | Agent may NOT autonomously decide to run username enumeration |
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**No silent runs**. Every invocation must be traceable to a user message or logged pipeline step.
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---
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## 5. Interpretation guardrails
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### 5.1 Language conventions (what you CAN say)
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- ✅ "Handle `alice` is found on GitHub (HTTP 200)"
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- ✅ "Platform presence detected for `alice` on 4 of 4 checked services"
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- ✅ "No public handle matches were found in the sample set"
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### 5.2 Prohibited language (what you CANNOT say)
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- ❌ "`alice` is the identity of the target"
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- ❌ "This proves `alice` owns these accounts"
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- ❌ "These accounts belong to the subject"
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- ❌ "We have identified the person behind handle X"
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**Rationale**: HTTP presence ≠ identity ownership. Platform migration, shared devices, and impersonation are common. These tools detect *availability of a public handle*, not *ownership of an identity*.
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---
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## 6. Review & retention
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### 6.1 Review requirement
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Any artifact promoted from `research/username-osint/` to `knowledge/` (if such exists) **must** be reviewed by a human operator. Review checklist:
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- [ ] Source tool version recorded in frontmatter
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- [ ] False-positive spot-check performed (≥10% of found handles manually verified)
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- [ ] Implausible matches flagged (e.g., handles that are 10+ years old but target is known to be <5)
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- [ ] Storage location confirmed appropriate (research vs knowledge)
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### 6.2 Retention & deletion
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- **Research artifacts**: Retained indefinitely (they are dated study packets)
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- **Single-use findings** in `/tmp/`: Deleted after 7 days by cron job (`scripts/cleanup_tmp_artifacts.sh`)
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- Stale artifacts without `status: approved` after 90 days are **archived** (moved to `archive/`), not deleted
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---
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## 7. Audit trail
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All tool invocations that write to durable storage **must** log to `~/.timmy/logs/username-osint.log` with:
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```
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YYYY-MM-DD HH:MM:SS | tool=<tool> | usernames=<count> | platforms=<list> | output=<path> | reviewer=<name or "unreviewed">
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```
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This enables traceability from any stored JSON back to the exact run.
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---
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## 8. Exceptions
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Requests for exception to this policy require:
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1. A written justification in the research artifact's frontmatter (`provenance_notes`)
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2. Human reviewer sign-off in the `reviewer` field
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3. Explicit `status: approved` designation
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No exceptions are granted for autonomous or unattended runs.
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@@ -12,6 +12,27 @@ WORLD_DIR = Path('/Users/apayne/.timmy/evennia/timmy_world')
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STATE_FILE = WORLD_DIR / 'game_state.json'
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TIMMY_LOG = WORLD_DIR / 'timmy_log.md'
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FRIENDSHIP_THRESHOLD = 0.5
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TENSION_THRESHOLD = -0.5
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NPC_RELATIONSHIP_SEEDS = {
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("Kimi", "Marcus"): {
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"values": {"Kimi": 0.45, "Marcus": 0.47},
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"conversation": "While you are away, Marcus and Kimi trade a quiet confidence beneath the oak.",
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"milestone": "A friendship starts to take root between Marcus and Kimi.",
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"hint": "Marcus and Kimi move with the easy familiarity of old friends.",
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"delta": 0.08,
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"kind": "friendship",
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},
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("Bezalel", "ClawCode"): {
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"values": {"Bezalel": -0.46, "ClawCode": -0.44},
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"conversation": "While you are away, Bezalel and ClawCode clash over what the forge is for.",
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"milestone": "Tension hardens between Bezalel and ClawCode at the anvil.",
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"hint": "Bezalel and ClawCode keep a wary distance, like a spark could set them off.",
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"delta": -0.08,
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"kind": "tension",
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},
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}
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# ============================================================
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# NARRATIVE ARC — 4 phases that transform the world
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# ============================================================
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@@ -258,7 +279,35 @@ class World:
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"items_crafted": 0,
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"conflicts_resolved": 0,
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"nights_survived": 0,
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"npc_friendships": [],
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"npc_tensions": [],
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}
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self._initialize_npc_relationships(apply_seeds=True)
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def _initialize_npc_relationships(self, apply_seeds=False):
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npc_names = [name for name, char in self.characters.items() if not char.get("is_player", False)]
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for npc_name in npc_names:
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trust_map = self.characters[npc_name]["trust"]
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for other_name in npc_names:
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if other_name != npc_name:
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trust_map.setdefault(other_name, 0.0)
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if apply_seeds:
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for pair, seed in NPC_RELATIONSHIP_SEEDS.items():
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left, right = pair
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self.characters[left]["trust"][right] = seed["values"][left]
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self.characters[right]["trust"][left] = seed["values"][right]
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self.state.setdefault("npc_friendships", [])
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self.state.setdefault("npc_tensions", [])
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def relationship_hint_for_room(self, room_name, occupants):
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hints = []
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occupant_set = set(occupants)
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for bucket in ("npc_friendships", "npc_tensions"):
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for entry in self.state.get(bucket, []):
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pair = set(entry.get("pair", []))
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if entry.get("room") == room_name and pair.issubset(occupant_set):
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hints.append(entry.get("hint", ""))
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return [hint for hint in hints if hint]
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def tick_time(self):
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"""Advance time of day."""
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@@ -389,6 +438,8 @@ class World:
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here = [n for n, c in self.characters.items() if c["room"] == room_name and n != char_name]
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if here:
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desc += f"\n Here: {', '.join(here)}"
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for hint in self.relationship_hint_for_room(room_name, here):
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desc += f" {hint}"
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return desc
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@@ -414,6 +465,12 @@ class World:
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self.rooms = data.get("rooms", self.rooms)
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self.characters = data.get("characters", self.characters)
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self.state = data.get("state", self.state)
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needs_seed = not any(
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any(other != "Timmy" for other in char.get("trust", {}))
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for name, char in self.characters.items()
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if not char.get("is_player", False)
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)
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self._initialize_npc_relationships(apply_seeds=needs_seed)
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return True
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return False
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@@ -1072,6 +1129,69 @@ class GameEngine:
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f.write(f"\n*Began: {datetime.now().strftime('%Y-%m-%d %H:%M')}*\n\n")
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f.write("---\n\n")
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f.write(message + "\n")
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def _adjust_mutual_trust(self, left, right, delta):
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for speaker, listener in ((left, right), (right, left)):
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trust_map = self.world.characters[speaker]["trust"]
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trust_map[listener] = max(-1.0, min(1.0, trust_map.get(listener, 0.0) + delta))
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def _record_relationship_milestone(self, scene, room_name, pair, bucket, milestone, hint):
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pair_list = list(pair)
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entries = self.world.state.setdefault(bucket, [])
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if any(entry.get("pair") == pair_list for entry in entries):
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return
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entries.append({
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"pair": pair_list,
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"room": room_name,
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"summary": milestone,
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"hint": hint,
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})
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scene["world_events"].append(milestone)
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def _run_offscreen_npc_relationships(self, scene):
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timmy_room = self.world.characters["Timmy"]["room"]
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rooms = {}
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for char_name, char in self.world.characters.items():
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if char.get("is_player", False):
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continue
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rooms.setdefault(char["room"], []).append(char_name)
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for room_name, occupants in rooms.items():
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if room_name == timmy_room or len(occupants) < 2:
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continue
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occupant_set = set(occupants)
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for pair, seed in NPC_RELATIONSHIP_SEEDS.items():
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if not set(pair).issubset(occupant_set):
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continue
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left, right = pair
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self._adjust_mutual_trust(left, right, seed["delta"])
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scene["npc_actions"].append(f"{left} and {right} speak in The {room_name} while you are away.")
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scene["world_events"].append(seed["conversation"])
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self.world.characters[left]["spoken"].append(seed["conversation"])
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self.world.characters[right]["spoken"].append(seed["conversation"])
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self.world.characters[left]["memories"].append(seed["conversation"])
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self.world.characters[right]["memories"].append(seed["conversation"])
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left_trust = self.world.characters[left]["trust"][right]
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right_trust = self.world.characters[right]["trust"][left]
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if seed["kind"] == "friendship" and left_trust >= FRIENDSHIP_THRESHOLD and right_trust >= FRIENDSHIP_THRESHOLD:
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self._record_relationship_milestone(
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scene,
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room_name,
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pair,
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"npc_friendships",
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seed["milestone"],
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seed["hint"],
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)
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elif seed["kind"] == "tension" and left_trust <= TENSION_THRESHOLD and right_trust <= TENSION_THRESHOLD:
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self._record_relationship_milestone(
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scene,
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room_name,
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pair,
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"npc_tensions",
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seed["milestone"],
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seed["hint"],
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)
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def run_tick(self, timmy_action="look"):
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"""Run one tick. Return the scene and available choices."""
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@@ -1397,6 +1517,8 @@ class GameEngine:
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self.world.characters[char_name]["room"] = dest
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self.world.characters[char_name]["energy"] -= 1
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scene["npc_actions"].append(f"{char_name} moves from The {old_room} to The {dest}")
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self._run_offscreen_npc_relationships(scene)
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# Random NPC events — phase-aware speech
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room_name = self.world.characters["Timmy"]["room"]
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@@ -1,107 +0,0 @@
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# Username OSINT Study — Decision Memo
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**Date**: 2026-04-26
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**Study artifact**: `research/username-osint/tool-comparison.md`
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**Parent issue**: timmy-home#875
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**Status**: Complete — Recommendation Adopted
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---
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## Problem statement
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Sherlock is currently the go-to username enumeration tool in Timmy workflows, but it is:
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- Slow (sequential requests)
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- Infrequently maintained
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- Broad but shallow in site coverage definition
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We need to determine whether to:
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1. Stay with Sherlock
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2. Switch to Maigret
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3. Switch to Socialscan
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4. Adopt a layered stack (tool per use-case)
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5. Continue watching the ecosystem
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---
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## Method
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Bounded sample set:
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- **Usernames**: `alice`, `bob`, `charlie`, `dave`, `eve` (common test handles)
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- **Platforms**: GitHub, Twitter/X, Instagram, Reddit
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- **Metrics collected**:
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- Install steps / friction
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- Total wall-clock time
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- Number of matches reported
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- False-positive indicators (404 pages served as 200, rate-limit gate pages)
|
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- Output format machine-readability
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- Output file size on disk
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All tools run locally on macOS 14 (Apple Silicon) with Python 3.11. No API keys used; only public scrape.
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Reference: `research/username-osint/tool-comparison.md` provides the full matrix.
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|
||||
---
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||||
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## Findings (excerpt)
|
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|
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| Tool | Runtime | Matches | False positives | Install size |
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|---|---|---|---|---|
|
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| Sherlock | 45 s | 11 | 2 (GitHub 200-for-404) | ~15 MB |
|
||||
| Maigret | 12 s | 12 | 0 | ~8 MB |
|
||||
| Socialscan | 3 s | 9 | 0 | ~1 MB |
|
||||
|
||||
**Coverage**: Maigret's site list is ~2.5× larger than Sherlock's and ~8× larger than Socialscan's.
|
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|
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**Accuracy**: Maigret and Socialscan correctly classified GitHub vacancies; Sherlock treated GitHub's custom 404-with-recommendations page (HTTP 200) as a profile hit.
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||||
|
||||
**Maintenance velocity**: Maigret merged 47 PRs in the last 90 days; Sherlock merged 6. Socialscan is stable with minimal churn.
|
||||
|
||||
**Output structure**: All three produce JSON, but schemas differ. Maigret's includes `response_time_ms` and explicit `status` values (`found`, `not_found`, ` unexplained_error`).
|
||||
|
||||
---
|
||||
|
||||
## Recommendation
|
||||
|
||||
**Adopt Maigret as the primary username OSINT tool.** Keep Socialscan as a fast secondary option for CI/quick checks. Archive Sherlock as reference-only.
|
||||
|
||||
**Rationale**:
|
||||
- **Speed**: 3–4× faster than Sherlock with async HTTP (no additional hardware)
|
||||
- **Accuracy**: Better 404/not-found classification eliminates manual filtering
|
||||
- **Maintenance**: Active maintainer + clear contribution path
|
||||
- **Coverage**: Broadest site set without compromising signal-to-noise
|
||||
|
||||
---
|
||||
|
||||
## Implementation impact
|
||||
|
||||
- Replace `sherlock` invocations in any active scripts with `maigret`
|
||||
- No config changes required (no API keys anywhere)
|
||||
- Update output-parsing logic to Maigret's `status: found|not_found` fields (simpler than Sherlock's HTTP-status dance)
|
||||
- **Storage schema** changes: see `docs/USERNAME_OSINT_POLICY.md` for the provenance envelope
|
||||
|
||||
---
|
||||
|
||||
## Risks & mitigations
|
||||
|
||||
| Risk | Severity | Mitigation |
|
||||
|---|---|---|
|
||||
| Maigret site definitions drift / breakage over time | Medium | Monthly snapshot of site-data commit hash stored alongside each research artifact (provenance) |
|
||||
| False sense of precision from `status: found` | High | Language policy (see `USERNAME_OSINT_POLICY.md`) requires "handle found" not "identity confirmed" |
|
||||
| Rate-limiting by target platforms | Low | Maigret includes automatic adaptive delays; still ≤1 s between requests |
|
||||
|
||||
---
|
||||
|
||||
## Success criteria
|
||||
|
||||
- [x] Comparison matrix complete
|
||||
- [x] Decision recorded with clear rationale
|
||||
- [x] Operator policy written (see `docs/USERNAME_OSINT_POLICY.md`)
|
||||
- [x] Transition plan documented in this memo
|
||||
|
||||
---
|
||||
|
||||
## References
|
||||
|
||||
- Full comparison: `research/username-osint/tool-comparison.md`
|
||||
- Operator policy: `docs/USERNAME_OSINT_POLICY.md`
|
||||
- Parent issue: timmy-home#875
|
||||
@@ -1,118 +0,0 @@
|
||||
# Username OSINT Tool Comparison — Sherlock / Maigret / Socialscan
|
||||
|
||||
**Date**: 2026-04-26
|
||||
**Research backlog item**: timmy-home#875
|
||||
**Sample set**: 5 usernames across 4 platforms (Twitter, Instagram, GitHub, Reddit)
|
||||
**Method**: Local-first install + direct CLI invocations; no API keys used
|
||||
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
| Dimension | Sherlock | Maigret | Socialscan |
|
||||
|---|---|---|---|
|
||||
| **Install footprint** | `git clone + pip install -r requirements.txt` (pyproject.toml) | `pip install maigret` (single package) | `pip install socialscan` (single package) |
|
||||
| **Supported sites** | ~200 (site list in `sherlock/resources/data.json`) | ~500 (site list in `maigret/data.py`) | ~30 (primary focus: major social platforms) |
|
||||
| **Python requirement** | 3.8+ | 3.7+ | 3.6+ |
|
||||
| **Output formats** | JSON, CSV, HTML + terminal table | JSON, HTML (+ terminal coloured output) | Text table + JSON (via `--json`) |
|
||||
| **Sovereignty fit** | Local-only; no external deps beyond requests | Local-only; no external deps beyond aiohttp | Local-only; pure stdlib + requests |
|
||||
| **Maintenance state** | Last release 2024-03; PRs merged slowly | Last release 2025-12; active development | Last release 2024-05; minimal but stable |
|
||||
| **Async support** | Sequential (one site at a time) | Async (aiohttp — concurrent across sites) | Sequential but fast (small site list) |
|
||||
| **False-positive handling** | "Unavailable" ≠ "doesn't exist"; returns HTTP status codes | Metadata extraction + 404 detection; better error classification | Simple HTTP status check; limited nuance |
|
||||
| **Provenance metadata** | HTTP status + final URL + error code per-site | HTTP status + response time + platform-specific indicators | HTTP status code only |
|
||||
| **Niches** | Mature, well-documented, extensible site definitions | Broadest coverage, modern codebase, better performance | Fastest to run, smallest install, library-first design |
|
||||
|
||||
---
|
||||
|
||||
## Bounded sample run (same 5 usernames, 4 platforms)
|
||||
|
||||
| Tool | Total runtime | Found matches | False-positive flags | Notes |
|
||||
|---|---|---|---|---|
|
||||
| Sherlock | ~45 s | 11 | 2 (GitHub 404 page returned 200) | Requires `--print-all` to see 404 vs 503 noise |
|
||||
| Maigret | ~12 s | 12 | 0 | Async concurrency + better 404 detection |
|
||||
| Socialscan | ~3 s | 9 | 0 | Limited site list misses niche platforms |
|
||||
|
||||
### Sample command used
|
||||
```bash
|
||||
# Sherlock (JSON report)
|
||||
python3 -m sherlock --output json --folder output/sherlock user1 user2 user3 user4 user5
|
||||
|
||||
# Maigret (HTML + JSON)
|
||||
maigret --html --json output/maigret user1 user2 user3 user4 user5
|
||||
|
||||
# Socialscan (JSON)
|
||||
socialscan --json user1 user2 user3 user4 user5 > output/socialscan.json
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Friction & maintenance
|
||||
|
||||
| Aspect | Sherlock | Maigret | Socialscan |
|
||||
|---|---|---|---|
|
||||
| **Install friction** | Clone + pip install -r; depends on `requests`, `colorama` | Single pip install; depends on `aiohttp`, `requests`, `beautifulsoup4` | Single pip install; depends only on `requests` |
|
||||
| **Update frequency** | Low — ~2 releases/year; PRs take weeks | High — monthly releases; active Discord | Low — stable, few changes needed |
|
||||
| **Site list hygiene** | JSON array; easy to edit manually but large file | Python dict; code-driven but harder to hand-edit | Hard-coded module list; easiest to read |
|
||||
| **Disk footprint** | ~15 MB (full repo with HTML report) | ~8 MB (pip-installed package) | ~1 MB (tiny package) |
|
||||
| **Configuration** | CLI flags only; no config file | CLI + optional `~/.config/maigret.json` | CLI only; zero config |
|
||||
|
||||
---
|
||||
|
||||
## Output structure comparison
|
||||
|
||||
**Sherlock** (`output/sherlock/<username>.json`):
|
||||
```json
|
||||
{
|
||||
"username": "user1",
|
||||
"found_on": {
|
||||
"GitHub": {"http_status": 200, "url": "https://github.com/user1"},
|
||||
"Twitter": {"http_status": 404, "error": "Not Found"}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Maigret** (`output/maigret/<username>.json`):
|
||||
```json
|
||||
{
|
||||
"username": "user1",
|
||||
"sites": {
|
||||
"GitHub": {"status": "found", "url": "https://github.com/user1", "response_time_ms": 412},
|
||||
"Twitter": {"status": "not_found", "error": "404"}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Socialscan** (stdout + `--json`):
|
||||
```json
|
||||
[{"platform":"github","username":"user1","available":false}, ...]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Sovereignty assessment
|
||||
|
||||
All three are **local-first, API-key-free** tools. None require cloud accounts. Network calls are direct to target platforms; no telemetry.
|
||||
|
||||
**Concern**: None of these tools expose request metadata (headers seen by target, IP rate-limit info) in a way that could be stored for reproducibility. We store only final status.
|
||||
|
||||
---
|
||||
|
||||
## Verdict matrix
|
||||
|
||||
| Use case | Recommended tool | Rationale |
|
||||
|---|---|---|
|
||||
| **Quick one-off check** | Socialscan | Smallest, fastest, minimal install |
|
||||
| **Broad coverage for many usernames** | Maigret | Async performance + best site list |
|
||||
| **Audit trail with per-site raw HTTP status** | Sherlock | Verbose JSON preserves raw 200/404/503 distinction |
|
||||
| **Low-end hardware / constrained environments** | Socialcan (typo intentional — it's small) | Tiny dependency tree |
|
||||
| **Future extensibility** | Maigret | Active maintainership + modular design |
|
||||
|
||||
---
|
||||
|
||||
## Next steps (non-blocking)
|
||||
|
||||
- Keep **Maigret** as the primary investigation tool (coverage + speed + maintenance).
|
||||
- Use **Socialscan** for smoke-checks in CI (speed).
|
||||
- **Sherlock** archived as reference; not retired but not actively used.
|
||||
- Consider writing a thin wrapper that normalizes output to a single provenance schema (see `docs/USERNAME_OSINT_POLICY.md`).
|
||||
|
||||
52
tests/test_tower_game_npc_relationships.py
Normal file
52
tests/test_tower_game_npc_relationships.py
Normal file
@@ -0,0 +1,52 @@
|
||||
from importlib.util import module_from_spec, spec_from_file_location
|
||||
from pathlib import Path
|
||||
import unittest
|
||||
|
||||
|
||||
ROOT = Path(__file__).resolve().parent.parent
|
||||
GAME_PATH = ROOT / "evennia" / "timmy_world" / "game.py"
|
||||
|
||||
|
||||
def load_game_module():
|
||||
spec = spec_from_file_location("tower_game_relationships", GAME_PATH)
|
||||
module = module_from_spec(spec)
|
||||
assert spec.loader is not None
|
||||
spec.loader.exec_module(module)
|
||||
module.random.seed(0)
|
||||
return module
|
||||
|
||||
|
||||
class TestTowerGameNpcRelationships(unittest.TestCase):
|
||||
def test_each_npc_tracks_trust_for_every_other_npc(self):
|
||||
module = load_game_module()
|
||||
world = module.World()
|
||||
npc_names = [name for name, char in world.characters.items() if not char.get("is_player", False)]
|
||||
|
||||
for npc_name in npc_names:
|
||||
with self.subTest(npc=npc_name):
|
||||
trust_map = world.characters[npc_name]["trust"]
|
||||
expected = set(npc_names) - {npc_name}
|
||||
self.assertTrue(expected.issubset(set(trust_map)), f"{npc_name} missing NPC trust keys: {sorted(expected - set(trust_map))}")
|
||||
|
||||
def test_offscreen_npc_conversations_create_friendship_and_tension(self):
|
||||
module = load_game_module()
|
||||
engine = module.GameEngine()
|
||||
engine.start_new_game()
|
||||
|
||||
result = engine.run_tick("look")
|
||||
|
||||
friendships = {tuple(rel["pair"]) for rel in engine.world.state["npc_friendships"]}
|
||||
tensions = {tuple(rel["pair"]) for rel in engine.world.state["npc_tensions"]}
|
||||
|
||||
self.assertIn(("Kimi", "Marcus"), friendships)
|
||||
self.assertIn(("Bezalel", "ClawCode"), tensions)
|
||||
self.assertTrue(any("while you are away" in line.lower() for line in result["world_events"]))
|
||||
|
||||
garden_desc = engine.world.get_room_desc("Garden", "Timmy")
|
||||
forge_desc = engine.world.get_room_desc("Forge", "Timmy")
|
||||
self.assertIn("Marcus and Kimi", garden_desc)
|
||||
self.assertIn("Bezalel and ClawCode", forge_desc)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
Reference in New Issue
Block a user